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Volumn 7, Issue 3, 2011, Pages

Recent methods and techniques of external grading systems for agricultural crops quality inspection - Review

Author keywords

agricultural crop; external grading system; image processing; quality inspection

Indexed keywords

AGRICULTURAL CROPS; AGRICULTURAL PRODUCTIONS; CLASSIFICATION MECHANISM; EXTERNAL GRADING SYSTEM; GRADING SYSTEM; HIGH-QUALITY PRODUCTS; IMAGE PROCESSING TECHNIQUE; NON DESTRUCTIVE; QUALITY INSPECTION; QUALITY VERIFICATION; TECHNICAL ENGINEERING;

EID: 79958117238     PISSN: 15563758     EISSN: None     Source Type: Journal    
DOI: 10.2202/1556-3758.1932     Document Type: Review
Times cited : (20)

References (169)
  • 1
    • 70449583551 scopus 로고    scopus 로고
    • Grading of iranian's export pistachio nuts based on artificial neural networks
    • A. Mahmoudi, M. O., et al. (2006). "Grading of iranian's export pistachio nuts based on artificial neural networks." Int. J. Agri. Biol 8 (3).
    • (2006) Int. J. Agri. Biol. , vol.8 , Issue.3
    • Mahmoudi, A.M.O.1
  • 2
    • 79958154963 scopus 로고    scopus 로고
    • Speckle noise reduction in sar image using double-density dual tree dwt
    • Abdullah, H. N., et al. (2008). "Speckle noise reduction in sar image using double-density dual tree dwt." Asian Journal of Information Technology 7(7):281-284.
    • (2008) Asian Journal of Information Technology , vol.7 , Issue.7 , pp. 281-284
    • Abdullah, H.N.1
  • 3
    • 33750473053 scopus 로고    scopus 로고
    • Automated inspection system for colour and shape grading of starfruit (Averrhoa carambola L.) using machine vision sensor
    • DOI 10.1191/0142331205tm138oa
    • Abdullah, M. Z., et al. (2005). "Automated inspection system for colour and shape grading of starfruit (averrhoa carambola l.) using machine vision sensor." Transactions of the Institute of Measurement and Control 27(2):65-87. (Pubitemid 44651935)
    • (2005) Transactions of the Institute of Measurement and Control , vol.27 , Issue.2 , pp. 65-87
    • Abdullah, M.Z.1    Fathinul-Syahir, A.S.2    Mohd-Azemi, B.M.N.3
  • 5
    • 0042192001 scopus 로고    scopus 로고
    • The applications of computer vision system and tomographic radar imaging for assessing physical properties of food
    • Abdullah, M. Z., et al. (2004). "The applications of computer vision system and tomographic radar imaging for assessing physical properties of food." Journal of Food Engineering 61:125-135.
    • (2004) Journal of Food Engineering , vol.61 , pp. 125-135
    • Abdullah, M.Z.1
  • 6
    • 33646089647 scopus 로고    scopus 로고
    • Discrimination and classification of fresh-cut starfruits (averrhoa carambola l.) using automated machine vision system
    • Abdullah, M. Z., et al. (2006). "Discrimination and classification of fresh-cut starfruits (averrhoa carambola l.) using automated machine vision system." Journal of Food Engineering 76:506-523.
    • (2006) Journal of Food Engineering , vol.76 , pp. 506-523
    • Abdullah, M.Z.1
  • 7
    • 79958115797 scopus 로고    scopus 로고
    • An automatic grading system for panels surfaces using artificial vision cristhian aguilera, mario ramos, gabriel roa
    • Aguilera, C., et al. (2006). "An automatic grading system for panels surfaces using artificial vision cristhian aguilera, mario ramos, gabriel roa." International Journal of Computers, Communications & Control I(2):15-22.
    • (2006) International Journal of Computers, Communications & Control , vol.1 , Issue.2 , pp. 15-22
    • Aguilera, C.1
  • 9
    • 0032894146 scopus 로고    scopus 로고
    • Color classifier for symptomatic soybean seeds using image processing
    • Ahmad, I. S., et al. (1999). "Color classifier for symptomatic soybean seeds using image processing." Plant Disease 83(4):320-327.
    • (1999) Plant Disease , vol.83 , Issue.4 , pp. 320-327
    • Ahmad, I.S.1
  • 10
    • 79958084142 scopus 로고    scopus 로고
    • Date inspection by colour machine vision. Journal of king saud university
    • Al-Janobi, A. A. (2000). "Date inspection by colour machine vision. Journal of king saud university." Agricultural Science 12(1):41-51.
    • (2000) Agricultural Science , vol.12 , Issue.1 , pp. 41-51
    • Al-Janobi, A.A.1
  • 11
    • 42149189639 scopus 로고    scopus 로고
    • Oil palm fruit bunch grading system using red, green and blue digital number
    • Alfatni, M. S. M., et al. (2008). "Oil palm fruit bunch grading system using red, green and blue digital number." Journal of Applied Science 8(8):1444-1452.
    • (2008) Journal of Applied Science , vol.8 , Issue.8 , pp. 1444-1452
    • Alfatni, M.S.M.1
  • 14
    • 79958113848 scopus 로고    scopus 로고
    • Non agressive orange acid and sugar indexes estimation system
    • Arnau, T. J., et al. (2004). "Non agressive orange acid and sugar indexes estimation system." Image Analysis for Agricultural Products and Processes 69:170-174.
    • (2004) Image Analysis for Agricultural Products and Processes , vol.69 , pp. 170-174
    • Arnau, T.J.1
  • 16
    • 77649324892 scopus 로고    scopus 로고
    • Relationship between oil content and fruit surface color in oil palm (elaeis guineensis jacq.)
    • Balasundram, S. K., et al. (2006). "Relationship between oil content and fruit surface color in oil palm (elaeis guineensis jacq.)." Journal of Plant Sciences 1(3):217-227.
    • (2006) Journal of Plant Sciences , vol.1 , Issue.3 , pp. 217-227
    • Balasundram, S.K.1
  • 17
    • 0019397313 scopus 로고
    • Generalization the hough transform to detect arbitrary shapes
    • Ballard, D. H. (1981). "Generalization the hough transform to detect arbitrary shapes." Pattern Recognition 13(2):111-122.
    • (1981) Pattern Recognition , vol.13 , Issue.2 , pp. 111-122
    • Ballard, D.H.1
  • 18
    • 34247117326 scopus 로고    scopus 로고
    • Detection of shape in radial frequency contours: Independence of local and global form information
    • DOI 10.1016/j.visres.2007.01.006, PII S004269890700017X
    • Bell, J., et al. (2007). "Detection of shape in radial frequency contours: Independence of local and global form information". Vision Research 47:1518-1522. (Pubitemid 46602483)
    • (2007) Vision Research , vol.47 , Issue.11 , pp. 1518-1522
    • Bell, J.1    Badcock, D.R.2    Wilson, H.3    Wilkinson, F.4
  • 20
    • 0041733313 scopus 로고    scopus 로고
    • Machine vision system for automatic quality grading of fruit
    • DOI 10.1016/S1537-5110(03)00088-6
    • Blasco, J., et al. (2003). "Machine vision system for automatic quality grading of fruit." Biosystems Engineering 85(4):415-423. (Pubitemid 36996530)
    • (2003) Biosystems Engineering , vol.85 , Issue.4 , pp. 415-423
    • Blasco, J.1    Aleixos, N.2    Molto, E.3
  • 21
    • 34447288724 scopus 로고    scopus 로고
    • Development of an image-processing technique for soil tilth sensing
    • Bogrekcia, I. and R. J. Godwinb (2007). "Development of an image-processing technique for soil tilth sensing." Biosystems Engineering 97:323-331.
    • (2007) Biosystems Engineering , vol.97 , pp. 323-331
    • Bogrekcia, I.1    Godwinb, R.J.2
  • 22
    • 0141992690 scopus 로고    scopus 로고
    • A noise reduction filter for full-frame data imaging devices
    • Bosco, A., et al. (2003). "A noise reduction filter for full-frame data imaging devices." IEEE Transactions on Consumer Electronics 49(3):676-682.
    • (2003) IEEE Transactions on Consumer Electronics , vol.49 , Issue.3 , pp. 676-682
    • Bosco, A.1
  • 24
    • 0033715166 scopus 로고    scopus 로고
    • Illumination for machine vision
    • Braggins, D. (2000). "Illumination for machine vision". Sensor Review 20(1):20-23.
    • (2000) Sensor Review , vol.20 , Issue.1 , pp. 20-23
    • Braggins, D.1
  • 25
    • 33845545812 scopus 로고    scopus 로고
    • A support vector machine as an estimator of mountain papaya ripeness using resonant frequency or frequency centroid
    • DOI 10.1007/978-0-387-34747-9-35, Artificial Intelligence in Theory and Practice: IFIP 19th World Computer Congress, TC 12: IFIP AI 2006 Stream, August 21-24, 2006, Santiago, Chile
    • Bro, P. B., et al. (2006). "A support vector machine as an estimator of mountain papaya ripeness using resonant frequency or frequency centroid." TFTP International Federation for Information Processing, Volume 217, Artificial Intelligence in Theory and Practice, ed. M. Bramer, (Boston; Springer), pp. 335-344. (Pubitemid 44920597)
    • (2006) IFIP International Federation for Information Processing , vol.217 , pp. 335-344
    • Bro, P.B.1    Rosenberger, C.2    Laurent, H.3    Gaete-Eastman, C.4    Fernandez, M.5    Moya-Leon, M.A.6
  • 26
    • 0042192044 scopus 로고    scopus 로고
    • Improving quality inspection of food products by computer vision - A review
    • Brosnan, T. and D.-W. Sun (2004). "Improving quality inspection of food products by computer vision - a review." Journal of Food Engineering 61:3-16.
    • (2004) Journal of Food Engineering , vol.61 , pp. 3-16
    • Brosnan, T.1    Sun, D.-W.2
  • 27
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges, C. (1998). "A tutorial on support vector machines for pattern recognition " Data Mining and Knowledge Discovery 2(2):1-47.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 1-47
    • Burges, C.1
  • 28
    • 34247534668 scopus 로고    scopus 로고
    • Comparison of color indexes for tomato ripening
    • Camelo, A. F. L. and P. A. Gómez (2004). "Comparison of color indexes for tomato ripening." Hortic. bras 22(3):534-537.
    • (2004) Hortic. Bras , vol.22 , Issue.3 , pp. 534-537
    • Camelo, A.F.L.1    Gómez, P.A.2
  • 29
    • 0029178511 scopus 로고
    • Interferogram phase noise reduction using morphological and modified median filters
    • Candeias, A. L. B., et al. (1995). "Interferogram phase noise reduction using morphological and modified median filters." IEEE: 166-168.
    • (1995) IEEE , pp. 166-168
    • Candeias, A.L.B.1
  • 31
    • 0033496666 scopus 로고    scopus 로고
    • Color grading of cotton part ii: Color grading with an expert system and neural networks
    • Cheng, L., et al (1999). "Color grading of cotton part ii: Color grading with an expert system and neural networks." Textile Research Journal 69(12):893-903.
    • (1999) Textile Research Journal , vol.69 , Issue.12 , pp. 893-903
    • Cheng, L.1
  • 32
    • 78049489227 scopus 로고    scopus 로고
    • Image feature extraction techniques and their applications for cbir and biometrics systems
    • Choras, R. S. (2007). "Image feature extraction techniques and their applications for cbir and biometrics systems." International Journal of Biology and Biomedical Engineering 1(1):6-16.
    • (2007) International Journal of Biology and Biomedical Engineering , vol.1 , Issue.1 , pp. 6-16
    • Choras, R.S.1
  • 35
    • 0343237788 scopus 로고    scopus 로고
    • Quantitative evaluation of apple (Malus x domestica Borkh.) fruit shape by principal component analysis of Fourier descriptors
    • Currie, A. J., et al. (2000). "Quantitative evaluation of apple (malus domestica borkh.) fruit shape by principal component analysis of fourier descriptors." Euphytica 111:219-227. (Pubitemid 30181248)
    • (2000) Euphytica , vol.111 , Issue.3 , pp. 219-227
    • Currie, A.J.1    Ganeshanandam, S.2    Noiton, D.A.3    Garrick, D.4    Shelbourne, C.J.A.5    Oraguzie, N.6
  • 36
    • 0032285153 scopus 로고    scopus 로고
    • Shape extraction: A comparative study between neural network-based and conventional techniques
    • Datta, A. and S. K. Parui (1998). "Shape extraction: A comparative study between neural network-based and conventional techniques." Neural Comput and Applic 7:343-355. (Pubitemid 128450145)
    • (1998) Neural Computing and Applications , vol.7 , Issue.4 , pp. 343-355
    • Datta, A.1    Parui, S.K.2
  • 37
    • 79958097671 scopus 로고    scopus 로고
    • A new hough transform for the detection of arbitrary 3-dimensional object
    • National University of Ireland Maynooth
    • Donald, J. M. and D. Vernon (1998). A new hough transform for the detection of arbitrary 3-dimensional object. OESI-IMVIP, National University of Ireland Maynooth.
    • (1998) OESI-IMVIP
    • Donald, J.M.1    Vernon, D.2
  • 39
    • 1842483869 scopus 로고    scopus 로고
    • Recent developments in the applications of image processing techniques for food quality evaluation
    • DOI 10.1016/j.tifs.2003.10.006, PII S0924224403002711
    • Du, C.-J. and D.-W. Sun (2004). "Recent developments in the applications of image processing techniques for food quality evaluation". Trends in Food Science & Technology 15:230-249. (Pubitemid 38431240)
    • (2004) Trends in Food Science and Technology , vol.15 , Issue.5 , pp. 230-249
    • Du, C.-J.1    Sun, D.-W.2
  • 40
    • 0033492101 scopus 로고    scopus 로고
    • Color grading of cotton part i: Spectral and color image analysis
    • Duckett, K., et al (1999). "Color grading of cotton part i: Spectral and color image analysis." Textile Research Journal 69(11):876-886.
    • (1999) Textile Research Journal , vol.69 , Issue.11 , pp. 876-886
    • Duckett, K.1
  • 41
    • 1842443132 scopus 로고    scopus 로고
    • Accurate measurement of size and shape of cucumber fruits with image analysis
    • Eck, J. W. V., et al. (1998). "Accurate measurement of size and shape of cucumber fruits with image analysis." J. agric. Engng Res 70:335-343.
    • (1998) J. Agric. Engng Res. , vol.70 , pp. 335-343
    • Eck, J.W.V.1
  • 42
    • 0036779091 scopus 로고    scopus 로고
    • Image processing with neural networks- A review
    • DOI 10.1016/S0031-3203(01)00178-9, PII S0031320301001789
    • Egmont-Petersen, M., et al. (2002). "Image processing with neural networks-a review." Pattern Recognition 35 (2279-2301). (Pubitemid 34812878)
    • (2002) Pattern Recognition , vol.35 , Issue.10 , pp. 2279-2301
    • Egmont-Petersen, M.1    De Ridder, D.2    Handels, H.3
  • 45
    • 48749117358 scopus 로고    scopus 로고
    • Application of image texture analysis for online determination of curd moisture andwhey solids in a laboratory-scale stirred cheese vat
    • Fagan, C. C., et al. (2008). "Application of image texture analysis for online determination of curd moisture andwhey solids in a laboratory-scale stirred cheese vat." Journal of Food Science 73(6):250-258.
    • (2008) Journal of Food Science , vol.73 , Issue.6 , pp. 250-258
    • Fagan, C.C.1
  • 47
    • 40549131918 scopus 로고    scopus 로고
    • Fruit detachment and classification method for strawberry harvesting robot
    • Feng, G., et al. (2008). "Fruit detachment and classification method for strawberry harvesting robot." International Journal of Advanced Robotic Systems Vol. 5(No. 1):41-48.
    • (2008) International Journal of Advanced Robotic Systems , vol.5 , Issue.1 , pp. 41-48
    • Feng, G.1
  • 49
    • 20844441435 scopus 로고    scopus 로고
    • Application of image merging, segmentation and region classification techniques as a new approach for the detailed thematic mapping of soil-vegetation assemblages
    • Filho, R. A., et al. (1997). "Application of image merging, segmentation and region classification techniques as a new approach for the detailed thematic mapping of soil-vegetation assemblages." Revista Brasileira de Geociências 27(2):207-210.
    • (1997) Revista Brasileira de Geociências , vol.27 , Issue.2 , pp. 207-210
    • Filho, R.A.1
  • 51
    • 40449089533 scopus 로고    scopus 로고
    • Rice shape parameter detection based on image processing
    • Gao, H., et al. (2008). "Rice shape parameter detection based on image processing." Computer and Computing Technologies in Agriculture 1:287-294.
    • (2008) Computer and Computing Technologies in Agriculture , vol.1 , pp. 287-294
    • Gao, H.1
  • 52
    • 79958158865 scopus 로고    scopus 로고
    • Fruit color assessment for quality grading purposes
    • Hyatt Regency Chicago Chicago, Illinois, USA
    • Gay, P., et al. (2002). Fruit color assessment for quality grading purposes. ASAE Annual International Meeting. Hyatt Regency Chicago Chicago, Illinois, USA: 1-9.
    • (2002) ASAE Annual International Meeting , pp. 1-9
    • Gay, P.1
  • 53
    • 0038259114 scopus 로고    scopus 로고
    • Classes of kernels for machine learning: A statistics perspective
    • Genton, M. G. (2001). "Classes of kernels for machine learning: A statistics perspective." Journal of Machine Learning Research 2:299-312.
    • (2001) Journal of Machine Learning Research , vol.2 , pp. 299-312
    • Genton, M.G.1
  • 54
    • 84902170803 scopus 로고    scopus 로고
    • Color image processing of weed classification: A comparison of two feature extraction technique
    • Institut Teknologi Bandung, Indonesia June
    • Ghazali, K. H., et al. (2007). Color image processing of weed classification: A comparison of two feature extraction technique. Proceedings of the International Conference on Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia June 17-19.
    • (2007) Proceedings of the International Conference on Electrical Engineering and Informatics , pp. 17-19
    • Ghazali, K.H.1
  • 55
    • 79958116877 scopus 로고    scopus 로고
    • Machine vision system for automatic weeding strategy in oil palm plantation using image filtering technique
    • Engineering and Technology
    • Ghazali, K. H., et al. (2008). Machine vision system for automatic weeding strategy in oil palm plantation using image filtering technique. Proceedings of World Academy of Science, Engineering and Technology
    • (2008) Proceedings of World Academy of Science
    • Ghazali, K.H.1
  • 59
    • 78650516106 scopus 로고    scopus 로고
    • A novel approach to shape based image retrieval integrating adapted fourier descriptors and freeman code
    • Gopal, T. V. and D. V. K. Prasad (2008). "A novel approach to shape based image retrieval integrating adapted fourier descriptors and freeman code." IJCSNS International Journal of Computer Science and Network Security 8(6):293-302.
    • (2008) IJCSNS International Journal of Computer Science and Network Security , vol.8 , Issue.6 , pp. 293-302
    • Gopal, T.V.1    Prasad, D.V.K.2
  • 60
    • 0030209439 scopus 로고    scopus 로고
    • Computer vision technology for food quality assurance
    • DOI 10.1016/0924-2244(96)10028-5, PII S0924224496100285
    • Gunasekaran, S. (1996). "Computer vision technology for food quality assurance." Trends in Food Science & Technology August 71:245-256. (Pubitemid 27088551)
    • (1996) Trends in Food Science and Technology , vol.7 , Issue.8 , pp. 245-256
    • Gunasekaran, S.1
  • 61
    • 0034555366 scopus 로고    scopus 로고
    • Use of genetic artificial neural networks and spectral imaging for defect detection on cherries
    • Guyer, D. and X. Yang (2000). "Use of genetic artificial neural networks and spectral imaging for defect detection on cherries." Computers and Electronics in Agriculture 29 179-194.
    • (2000) Computers and Electronics in Agriculture , vol.29 , pp. 179-194
    • Guyer, D.1    Yang, X.2
  • 62
    • 0026020498 scopus 로고
    • Tristage hough transform for multiple ellipse extraction
    • H. K. Muammar, M. and P. M. Nixon, Mlee (1991). Tristage hough transform for multiple ellipse extraction. IEE Proceedings-E, V 138, NO. 1.
    • (1991) IEE Proceedings-E , vol.138 , Issue.1
    • Muammar, H.K.M.1    Nixon, P.M.M.2
  • 63
    • 0037153911 scopus 로고    scopus 로고
    • Statistical and heuristic image noise extraction (SHINE): A new method for processing Poisson noise in scintigraphic images
    • DOI 10.1088/0031-9155/47/24/302, PII S0031915502367216
    • Hannequin, P. and Jackymas (2002). "Statistical and heuristic image noise extraction (shine): A new method for processing poisson noise in scintigraphic images." Phys. Med. Biol 47:4329-4344. (Pubitemid 36113414)
    • (2002) Physics in Medicine and Biology , vol.47 , Issue.24 , pp. 4329-4344
    • Hannequin, P.1    Mas, J.2
  • 65
    • 0029699965 scopus 로고    scopus 로고
    • An automated inspection station for machine-vision grading of potatoes
    • Heinemann, P. H., et al. (1996). "An automated inspection station for machinevision grading of potatoes." Machine Vision and Applications 9:14-19. (Pubitemid 126572339)
    • (1996) Machine Vision and Applications , vol.9 , Issue.1 , pp. 14-19
    • Heinemann, P.H.1    Pathare, N.P.2    Morrow, C.T.3
  • 66
    • 0032000014 scopus 로고    scopus 로고
    • Application of a fuzzy classification technique in computer grading of fish products
    • PII S1063670698007930
    • Hu, B.-G., et al. (1998). "Application of a fuzzy classification technique in computer grading of fish products." IEEE Transactions on Fuzzy Systems 6(1):144-152. (Pubitemid 128747945)
    • (1998) IEEE Transactions on Fuzzy Systems , vol.6 , Issue.1 , pp. 144-152
    • Hu, B.-G.1    Gosine, R.G.2    Cao, L.X.3    De Silva, C.W.4
  • 67
    • 33847250435 scopus 로고    scopus 로고
    • Applications of Artificial Neural Networks (ANNs) in food science
    • DOI 10.1080/10408390600626453, PII 769960060
    • Huang, Y., et al. (2007). "Applications of artificial neural networks (anns) in food science." Critical Reviews in Food Science and Nutrition 47:113-126. (Pubitemid 46324804)
    • (2007) Critical Reviews in Food Science and Nutrition , vol.47 , Issue.2 , pp. 113-126
    • Huang, Y.1    Kangas, L.J.2    Rasco, B.A.3
  • 69
    • 42149110256 scopus 로고    scopus 로고
    • Optical properties for mechanical harvesting of oil palm ffb
    • Ismail, W. I. W., et al. (2000). "Optical properties for mechanical harvesting of oil palm ffb." Journal of Oil Palm Research 12(2):38-45.
    • (2000) Journal of Oil Palm Research , vol.12 , Issue.2 , pp. 38-45
    • Ismail, W.I.W.1
  • 70
    • 0035091487 scopus 로고    scopus 로고
    • Measuring image analysis attributes and modelling fuzzy consumer aspects for tomato quality grading
    • DOI 10.1016/S0168-1699(00)00171-X, PII S016816990000171X
    • Jahns, G., et al. (2001). "Measuring image analysis attributes and modelling fuzzy consumer aspects for tomato quality grading." Computers and Electronics in Agriculture 31:17-29. (Pubitemid 32200586)
    • (2001) Computers and Electronics in Agriculture , vol.31 , Issue.1 , pp. 17-29
    • Jahns, G.1    Moller Nielsen, H.2    Paul, W.3
  • 71
  • 72
    • 0001130002 scopus 로고    scopus 로고
    • Multi-layer neural networks for image analysis of agricultural products
    • Jayas, D. S., et al. (2000). "Multi-layer neural networks for image analysis of agricultural products." J. agric. Engng Res 77(2):119-128.
    • (2000) J. Agric. Engng Res. , vol.77 , Issue.2 , pp. 119-128
    • Jayas, D.S.1
  • 75
    • 51349103964 scopus 로고    scopus 로고
    • Citrus fruit external defect classification using wavelet packet transform features and ann
    • K. Vijayarekhal and R. Govindaraj (2006). "Citrus fruit external defect classification using wavelet packet transform features and ann". IEEE: 2872-2877.
    • (2006) IEEE , pp. 2872-2877
    • Vijayarekhal, K.1    Govindaraj, R.2
  • 77
    • 0036733088 scopus 로고    scopus 로고
    • Objective evaluation of the trash and color of raw cotton by image processing and neural network
    • Kang, T. J. and S. C. Kim (2002). "Objective evaluation of the trash and color of raw cotton by image processing and neural network." Textile Research Journal 72(9):776-782.
    • (2002) Textile Research Journal , vol.72 , Issue.9 , pp. 776-782
    • Kang, T.J.1    Kim, S.C.2
  • 79
    • 33847335787 scopus 로고    scopus 로고
    • A classification system for beans using computer vision system and artificial neural networks
    • Kilic, K., et al. (2007). "A classification system for beans using computer vision system and artificial neural networks " Journal of Food Engineering 78:897-904.
    • (2007) Journal of Food Engineering , vol.78 , pp. 897-904
    • Kilic, K.1
  • 80
    • 19044365005 scopus 로고    scopus 로고
    • Automated detection of fecal contamination of apples based on multispectral fluorescence image fusion
    • DOI 10.1016/j.jfoodeng.2004.10.022, PII S0260877404005175
    • Kim, M. S., et al. (2005). "Automated detection of fecal contamination of apples based on multispectral fluorescence image fusion " Journal of Food Engineering 71 85-91. (Pubitemid 40710149)
    • (2005) Journal of Food Engineering , vol.71 , Issue.1 , pp. 85-91
    • Kim, M.S.1    Lefcourt, A.M.2    Chen, Y.-R.3    Tao, Y.4
  • 81
    • 36749047332 scopus 로고    scopus 로고
    • Supervised machine learning: A review of classification techniques
    • Kotsiantis, S. B. (2007). "Supervised machine learning: A review of classification techniques." Informatica 31:249-268. (Pubitemid 350208045)
    • (2007) Informatica (Ljubljana) , vol.31 , Issue.3 , pp. 249-268
    • Kotsiantis, S.B.1
  • 82
    • 0033885408 scopus 로고    scopus 로고
    • Fuzzy neural network models for classification
    • DOI 10.1023/A:1008367007808
    • Kulkarni, A. D. and C. D. Cavanaugh (2000). "Fuzzy neural network models for classification". Applied Intelligence 12:207-215. (Pubitemid 30588237)
    • (2000) Applied Intelligence , vol.12 , Issue.3 , pp. 207-215
    • Kulkarni, A.D.1    Cavanaugh, C.D.2
  • 83
    • 53549121970 scopus 로고    scopus 로고
    • Colour classification of rubberwood boards for fingerjoint manufacturing using a som neural network and image processing
    • Kurdthongmee, W. (2008). "Colour classification of rubberwood boards for fingerjoint manufacturing using a som neural network and image processing." Computers and electronics in agriculture 64:85-92.
    • (2008) Computers and Electronics in Agriculture , vol.64 , pp. 85-92
    • Kurdthongmee, W.1
  • 84
    • 79958090613 scopus 로고    scopus 로고
    • Agricultural product grading method by image processing (part 1)-effectiveness of direct lighting method
    • Kurita, M. and N. Kondo (2006). "Agricultural product grading method by image processing (part 1)-effectiveness of direct lighting method-." J. SHITA 18(1):9-17.
    • (2006) J. Shita , vol.18 , Issue.1 , pp. 9-17
    • Kurita, M.1    Kondo, N.2
  • 86
    • 24044540749 scopus 로고    scopus 로고
    • Noise-adaptive spatio-temporal filter for real-time noise removal in low light level images
    • DOI 10.1109/TCE.2005.1468014
    • Lee, S.-W., et al. (2005). "Noise-adaptive spatio-temporal filter for real-time noise removal in low light level images." IEEE Transactions on Consumer Electronics 51(2):648-653. (Pubitemid 41222727)
    • (2005) IEEE Transactions on Consumer Electronics , vol.51 , Issue.2 , pp. 648-653
    • Lee, S.-W.1    Maik, V.2    Jang, J.-H.3    Shin, J.4    Paik, J.5
  • 87
    • 0042693195 scopus 로고    scopus 로고
    • A real-time grading method of apples based on features extracted from defects
    • Leemans, V. and M.-F. Destain (2004). "A real-time grading method of apples based on features extracted from defects." Journal of Food Engineering 61:83-89.
    • (2004) Journal of Food Engineering , vol.61 , pp. 83-89
    • Leemans, V.1    Destain, M.-F.2
  • 88
    • 0032126688 scopus 로고    scopus 로고
    • Defects segmentation on 'Golden Delicious' apples by using colour machine vision
    • DOI 10.1016/S0168-1699(98)00012-X, PII S016816999800012X
    • Leemans, V., et al. (1998). "Defects segmentation on 'golden delicious' apples by using colour machine vision". Computers and Electronics in Agriculture 20 117-130. (Pubitemid 28336059)
    • (1998) Computers and Electronics in Agriculture , vol.20 , Issue.2 , pp. 117-130
    • Leemans, V.1    Magein, H.2    Destain, M.-F.3
  • 89
    • 0032842937 scopus 로고    scopus 로고
    • Defect segmentation on 'Jonagold' apples using colour vision and a Bayesian classification method
    • DOI 10.1016/S0168-1699(99)00006-X, PII S016816999900006X
    • Leemans, V., et al. (1999). "Defect segmentation on 'jonagold' apples using colour vision and a bayesian classification method." Computers and Electronics in Agriculture 23:43-53. (Pubitemid 29461767)
    • (1999) Computers and Electronics in Agriculture , vol.23 , Issue.1 , pp. 43-53
    • Leemans, V.1    Magein, H.2    Destain, M.-F.3
  • 91
    • 79958139626 scopus 로고    scopus 로고
    • Statistical comparison of florida citrus fruit size distributions for the 1995-97 seasons
    • Lerin, E., et al. (1998). "Statistical comparison of florida citrus fruit size distributions for the 1995-97 seasons." Proc. Fla. State Hort. Soc 111:135-137.
    • (1998) Proc. Fla. State Hort. Soc. , vol.111 , pp. 135-137
    • Lerin, E.1
  • 93
    • 0036859144 scopus 로고    scopus 로고
    • Computer vision based system for apple surface defect detection
    • DOI 10.1016/S0168-1699(02)00093-5, PII S0168169902000935
    • Li, Q., et al. (2002). "Computer vision based system for apple surface defect detection". Computers and Electronics in Agriculture 36 215-223. (Pubitemid 35409383)
    • (2002) Computers and Electronics in Agriculture , vol.36 , Issue.2-3 , pp. 215-223
    • Li, Q.1    Wang, M.2    Gu, W.3
  • 94
    • 56749169178 scopus 로고    scopus 로고
    • Image processing techniques for lemons and tomatoes classification
    • Lino, A. C. L., et al. (2008). "Image processing techniques for lemons and tomatoes classification " Bragantia, Campinas 67(3):785-789.
    • (2008) Bragantia, Campinas , vol.67 , Issue.3 , pp. 785-789
    • Lino, A.C.L.1
  • 95
    • 0037032763 scopus 로고    scopus 로고
    • Analysing fruit shape in sweet cherry (Prunus avium L.)
    • DOI 10.1016/S0304-4238(02)00123-1, PII S0304423802001231
    • M. Beyer, et al. (2002). "Analysing fruit shape in sweet cherry (prunus avium l.)." Scientia Horticulturae 96:139-150. (Pubitemid 35399916)
    • (2002) Scientia Horticulturae , vol.96 , Issue.1-4 , pp. 139-150
    • Beyer, M.1    Hahn, R.2    Peschel, S.3    Harz, M.4    Knoche, M.5
  • 97
    • 0037428974 scopus 로고    scopus 로고
    • A survey on industrial vision systems, applications and tools
    • Malamasa, E. N., et al. (2003). "A survey on industrial vision systems, applications and tools." Image and Vision Computing 21:171-188.
    • (2003) Image and Vision Computing , vol.21 , pp. 171-188
    • Malamasa, E.N.1
  • 99
    • 0032026327 scopus 로고    scopus 로고
    • Machine learning from examples: Inductive and lazy methods
    • Mantaras, D. and A. E (1998). "Machine learning from examples: Inductive and lazy methods." Data & Knowledge Engineering 25:99-123.
    • (1998) Data & Knowledge Engineering , vol.25 , pp. 99-123
    • Mantaras, D.1    Ea, A.2
  • 100
    • 18144395392 scopus 로고    scopus 로고
    • Textural identification ofcarbonate rocks by image processing and neural network: Methodology proposal and examples
    • Marmoa, R., et al. (2005). "Textural identification ofcarbonate rocks by image processing and neural network: Methodology proposal and examples." Computers & Geosciences 31:649-659.
    • (2005) Computers & Geosciences , vol.31 , pp. 649-659
    • Marmoa, R.1
  • 102
    • 33745102316 scopus 로고    scopus 로고
    • Computer-vision system for control of drying processes
    • DOI 10.1080/07373930600734067, PII N3X064262670108
    • Martynenko, A. I. (2006). "Computer-vision system for control of drying processes." Drying Technology 24:879-888. (Pubitemid 43879001)
    • (2006) Drying Technology , vol.24 , Issue.7 , pp. 879-888
    • Martynenko, A.I.1
  • 103
    • 47349109815 scopus 로고    scopus 로고
    • Hybrid method for cereal grain identification using morphological and color features
    • Mehrez, A., et al. (2006). Hybrid method for cereal grain identification using morphological and color features. IEEE: 870-873.
    • (2006) IEEE , pp. 870-873
    • Mehrez, A.1
  • 104
    • 10944244741 scopus 로고    scopus 로고
    • Application of image analysis for classification of ripening bananas
    • Mendoza, F. and J. M. Aguilera (2004). "Application of image analysis for classification of ripening bananas." Journal of Food Science 69(9):471-477.
    • (2004) Journal of Food Science , vol.69 , Issue.9 , pp. 471-477
    • Mendoza, F.1    Aguilera, J.M.2
  • 105
    • 4944263290 scopus 로고    scopus 로고
    • Segmentation of colour food images using a robust algorithm
    • Mery, D. and F. Pedreschi (2005). "Segmentation of colour food images using a robust algorithm." Journal of Food Engineering 66:353-360.
    • (2005) Journal of Food Engineering , vol.66 , pp. 353-360
    • Mery, D.1    Pedreschi, F.2
  • 106
    • 0033337021 scopus 로고    scopus 로고
    • Fisher discriminant analysis with kernels
    • Y.-H. Hu, J. Larsen, E. Wilson, and S. Douglas, IEEE
    • Mikat, S., et al. (1999). Fisher discriminant analysis with kernels. Neural Networks for Signal Processing, Y.-H. Hu, J. Larsen, E. Wilson, and S. Douglas, IEEE.
    • (1999) Neural. Networks for Signal Processing
    • Mikat, S.1
  • 108
    • 79957509015 scopus 로고    scopus 로고
    • A new and robust apple evaluation method using image processing
    • Ferdowsi University of Mashhad, Iran
    • Mirzaei, H. and M. Saraee (2007). A new and robust apple evaluation method using image processing. First Joint Congress on Fuzzy and Intelligent Systems. Ferdowsi University of Mashhad, Iran: 1-6.
    • (2007) First Joint Congress on Fuzzy and Intelligent Systems , pp. 1-6
    • Mirzaei, H.1    Saraee, M.2
  • 109
    • 77649308703 scopus 로고    scopus 로고
    • Starfruit classification based on linear hue computation
    • Mokji, M. M. and S. A. R. A. Bakar (2007). "Starfruit classification based on linear hue computation". ELEKTRIKA 9(2):14-19.
    • (2007) Elektrika , vol.9 , Issue.2 , pp. 14-19
    • Mokji, M.M.1    Bakar, S.A.R.A.2
  • 110
    • 59049090528 scopus 로고    scopus 로고
    • Non-destructive technologies for fruit and vegetable size determination - A review
    • Moreda, G. P., et al. (2009). "Non-destructive technologies for fruit and vegetable size determination - a review." Journal of Food Engineering 92:119-136.
    • (2009) Journal of Food Engineering , vol.92 , pp. 119-136
    • Moreda, G.P.1
  • 111
    • 0034033919 scopus 로고    scopus 로고
    • Pattern recognition of fruit shape based on the concept of chaos and neural networks
    • DOI 10.1016/S0168-1699(00)00070-3, PII S0168169900000703
    • Morimoto, T., et al. (2000). "Pattern recognition of fruit shape based on the concept of chaos and neural networks." Computers and Electronics in Agriculture 26:171-186. (Pubitemid 30181235)
    • (2000) Computers and Electronics in Agriculture , vol.26 , Issue.2 , pp. 171-186
    • Morimoto, T.1    Takeuchi, T.2    Miyata, H.3    Hashimoto, Y.4
  • 112
    • 0031211714 scopus 로고    scopus 로고
    • Application of neural networks to the color grading of apples
    • Nalcano, K. (1997). "Application of neural networks to the color grading of apples." Computers and Electronics in Agriculture 18 105-116.
    • (1997) Computers and Electronics in Agriculture , vol.18 , pp. 105-116
    • Nalcano, K.1
  • 114
    • 0042126187 scopus 로고    scopus 로고
    • Oxford Auckland Boston Johannesburg Melbourne New Delhi, Great Britain, Newnes
    • Nixon, M. S. and A. S. Aguado (2002). Feature extraction and image processing.. Oxford Auckland Boston Johannesburg Melbourne New Delhi, Great Britain, Newnes.
    • (2002) Feature Extraction and Image Processing
    • Nixon, M.S.1    Aguado, A.S.2
  • 117
    • 33645783985 scopus 로고    scopus 로고
    • Shape distributions
    • Osada, R., et al. (2002). "Shape distributions." ACM Transactions on Graphics 21(4):807-832.
    • (2002) ACM Transactions on Graphics , vol.21 , Issue.4 , pp. 807-832
    • Osada, R.1
  • 118
    • 0031640581 scopus 로고    scopus 로고
    • A classification algorithm and optimal feature selection methodology for automated solder joint defect inspection
    • Oyeleye, O. and E. A. Lehtihet (1998). "A classification algorithm and optimal feature selection methodology for automated solder joint defect inspection " Journal of Manufacturing Systems 17(4):251-262.
    • (1998) Journal of Manufacturing Systems , vol.17 , Issue.4 , pp. 251-262
    • Oyeleye, O.1    Lehtihet, E.A.2
  • 119
    • 11844254442 scopus 로고    scopus 로고
    • Classification of cereal grains using a flatbed scanner
    • 5
    • Paliwal, J., et al. (2004). "Classification of cereal grains using a flatbed scanner." Canadian Biosystems Engineering 46 3.1-3.5.
    • (2004) Canadian Biosystems Engineering , vol.46 , Issue.3 , pp. 1-3
    • Paliwal, J.1
  • 120
    • 0005331171 scopus 로고    scopus 로고
    • Evaluation of neural network architectures for cereal grain classification using morphological features
    • DOI 10.1006/jaer.2001.0724
    • Paliwal, J., et al. (2001). "Evaluation of neural network architectures for cereal grain classification using morphological features." J. agric. Engng Res 79(4):361-370. (Pubitemid 33715470)
    • (2001) Journal of Agricultural and Engineering Research , vol.79 , Issue.4 , pp. 361-370
    • Paliwal, J.1    Visen, N.S.2    Jayas, D.S.3
  • 121
    • 0037691584 scopus 로고    scopus 로고
    • Cereal grain and dockage identification using machine vision
    • DOI 10.1016/S1537-5110(03)00034-5
    • Paliwal, J., et al. (2003). "Cereal grain and dockage identification using machine vision". Biosystems Engineering 85(1):51-57. (Pubitemid 36579926)
    • (2003) Biosystems Engineering , vol.85 , Issue.1 , pp. 51-57
    • Paliwal, J.1    Visen, N.S.2    Jayas, D.S.3    White, N.D.G.4
  • 122
    • 32544444805 scopus 로고    scopus 로고
    • An efficient feature extraction methodology for computer vision applications using wavelet compressed zernike moments
    • Vision and Image Processing, Special Issue: Wavelets and their Applications
    • Papakostas, G. A., et al. (2005). "An efficient feature extraction methodology for computer vision applications using wavelet compressed zernike moments." ICGST International Journal on Graphics, Vision and Image Processing, Special Issue: Wavelets and their Applications. vSI1:5-15.
    • (2005) ICGST International Journal on Graphics , vol.VSI1 , pp. 5-15
    • Papakostas, G.A.1
  • 123
    • 0001454295 scopus 로고    scopus 로고
    • Multi-spectral image analysis using neural network algorithm for inspection of poultry carcasses
    • Park, B., et al. (1998). "Multi-spectral image analysis using neural network algorithm for inspection of poultry carcasses." J. agric. Engng Res. 69:351-363. (Pubitemid 128651206)
    • (1998) Journal of Agricultural and Engineering Research , vol.69 , Issue.4 , pp. 351-363
    • Park, B.1    Chen, Y.R.2    Nguyen, M.3
  • 124
    • 38149016228 scopus 로고    scopus 로고
    • Noise removal and restoration using voting-based analysis and image segmentation based on statistical models
    • Park, J., et al. (2007). "Noise removal and restoration using voting-based analysis and image segmentation based on statistical models." LNCS 4679:242-252.
    • (2007) LNCS , vol.4679 , pp. 242-252
    • Park, J.1
  • 125
    • 0011840906 scopus 로고    scopus 로고
    • Shape characterization of new apple cultivars by Fourier expansion of digitized images
    • Paulus, I. and E. Schrevens (1999). "Shape characterization of new apple cultivars by fourier expansion of digitized images." J. Agric. Engng Res 72:113-118. (Pubitemid 129671492)
    • (1999) Journal of Agricultural and Engineering Research , vol.72 , Issue.2 , pp. 113-118
    • Paulus, I.1    Schrevens, E.2
  • 127
    • 0036318330 scopus 로고    scopus 로고
    • Improving plant discrimination in image processing by use of different colour space transformations
    • DOI 10.1016/S0168-1699(02)00050-9, PII S0168169902000509
    • Philipp, I. and T. Rath (2002). "Improving plant discrimination in image processing by use of different colour space transformations " Computers and Electronics in Agriculture 35:1-15. (Pubitemid 34757846)
    • (2002) Computers and Electronics in Agriculture , vol.35 , Issue.1 , pp. 1-15
    • Philipp, I.1    Rath, T.2
  • 129
    • 33746817927 scopus 로고    scopus 로고
    • Automatic texture feature selection for image pixel classification
    • DOI 10.1016/j.patcog.2006.05.016, PII S0031320306002366
    • Puig, D. and M. A. Garcia (2006). "Automatic texture feature selection for image pixel classification". Pattern Recognition 39 1996-2009. (Pubitemid 44175465)
    • (2006) Pattern Recognition , vol.39 , Issue.11 , pp. 1996-2009
    • Puig, D.1    Angel Garcia, M.2
  • 130
    • 0036680699 scopus 로고    scopus 로고
    • Description of food surfaces and microstructural changes using fractal image texture analysis
    • DOI 10.1016/S0260-8774(01)00177-7, PII S0260877401001777
    • Quevedo, R., et al. (2002). "Description of food surfaces and microstructural changes using fractal image texture analysis." Journal of Food Engineering 53 361-371. (Pubitemid 34524743)
    • (2002) Journal of Food Engineering , vol.53 , Issue.4 , pp. 361-371
    • Quevedo, R.1    Carlos, L.-G.2    Aguilera, J.M.3    Cadoche, L.4
  • 132
    • 50149109999 scopus 로고    scopus 로고
    • Wavelets and support vector machines for texture classification
    • Rajpoot, K. M. and N. M. Rajpoot (2004). Wavelets and support vector machines for texture classification. IEEE. INMIC 228-333.
    • (2004) IEEE. INMIC , pp. 228-333
    • Rajpoot, K.M.1    Rajpoot, N.M.2
  • 133
    • 0242692721 scopus 로고    scopus 로고
    • Quantification of microstructural changes during first stage of air drying of grape tissue
    • Ramos, I. N., et al. (2004). "Quantification of microstructural changes during first stage of air drying of grape tissue." Journal of Food Engineering 62:159-164.
    • (2004) Journal of Food Engineering , vol.62 , pp. 159-164
    • Ramos, I.N.1
  • 134
    • 42149143489 scopus 로고    scopus 로고
    • Classification of fruits based on shape using image processing techniques
    • Rao, S. P., et al. (1999). "Classification of fruits based on shape using image processing techniques.." J. Instrum. Soc. India 34(4):277-239.
    • (1999) J. Instrum. Soc. India , vol.34 , Issue.4 , pp. 277-239
    • Rao, S.P.1
  • 136
    • 73449116597 scopus 로고    scopus 로고
    • Classification of fruit shape in cantaloupe using the analysis of geomatric attributes
    • Rashidi, M. and K. Seyfi (2007). "Classification of fruit shape in cantaloupe using the analysis of geomatric attributes." Wourld Journal of Agricultural Sciences 3(6):735-740.
    • (2007) Wourld Journal of Agricultural Sciences , vol.3 , Issue.6 , pp. 735-740
    • Rashidi, M.1    Seyfi, K.2
  • 137
    • 49449086449 scopus 로고    scopus 로고
    • Classification of fruit shape in kiwifruit applying the analysis of outer dimensions
    • Rashidi, M. and K. Seyfi (2007). "Classification of fruit shape in kiwifruit applying the analysis of outer dimensions." Int. J. Agri. Biol 9(5):759-762.
    • (2007) Int. J. Agri. Biol. , vol.9 , Issue.5 , pp. 759-762
    • Rashidi, M.1    Seyfi, K.2
  • 138
    • 24644436450 scopus 로고    scopus 로고
    • Application of neuro-fuzzy techniques in oil pipeline ultrasonic nondestructive testing
    • DOI 10.1016/j.ndteint.2005.03.001, PII S0963869505000575
    • Ravanbod, H. (2005). "Application of neuro-fuzzy techniques in oil pipeline ultrasonic nondestructive testing." NDT&E International 38 643-653. (Pubitemid 41263366)
    • (2005) NDT and E International , vol.38 , Issue.8 , pp. 643-653
    • Ravanbod, H.1
  • 140
    • 34848845967 scopus 로고    scopus 로고
    • Object detection using circular hough transform
    • Rizon, M., et al. (2005). "Object detection using circular hough transform." American Journal of Applied Sciences 2(12):1606-1609.
    • (2005) American Journal of Applied Sciences , vol.2 , Issue.12 , pp. 1606-1609
    • Rizon, M.1
  • 142
    • 37349092934 scopus 로고    scopus 로고
    • Classification and analysis of fruit shapes in long type watermelon using image processing
    • Sadrnia, H., et al. (2007). "Classification and analysis of fruit shapes in long type watermelon using image processing." Int. J. Agri. Biol 9(1):68-70.
    • (2007) Int. J. Agri. Biol. , vol.9 , Issue.1 , pp. 68-70
    • Sadrnia, H.1
  • 143
    • 67349122022 scopus 로고    scopus 로고
    • A fusion neural network classifier for image classification
    • Sanggil Kanga, S. P. (2009). "A fusion neural network classifier for image classification". Pattern Recognition Letters (2009) 30:789-793.
    • (2009) Pattern Recognition Letters (2009) , vol.30 , pp. 789-793
    • Sanggil Kanga, S.P.1
  • 144
    • 79958138092 scopus 로고    scopus 로고
    • Correlation between oil content and dn values
    • GISdevelopment.net
    • Shariff, R., et al. (2002). Correlation between oil content and dn values. Geospatial Application Papers, GISdevelopment.net: 1-6.
    • (2002) Geospatial Application Papers , pp. 1-6
    • Shariff, R.1
  • 145
  • 147
    • 34447298366 scopus 로고    scopus 로고
    • Genetic analysis of fruit shape traits at different maturation stages in sponge gourd
    • Sheng, Z., et al. (2007). "Genetic analysis of fruit shape traits at different maturation stages in sponge gourd." Journal of Zhejiang University Science B 8(5):338-344.
    • (2007) Journal of Zhejiang University Science B. , vol.8 , Issue.5 , pp. 338-344
    • Sheng, Z.1
  • 148
    • 33748286191 scopus 로고    scopus 로고
    • A free-boundary theory for the shape of the ideal dripping icicle
    • Short, M. B., et al. (2006). "A free-boundary theory for the shape of the ideal dripping icicle." Physics of Fluids 18:1-5.
    • (2006) Physics of Fluids , vol.18 , pp. 1-5
    • Short, M.B.1
  • 150
    • 79958147492 scopus 로고    scopus 로고
    • Comparison of bananas ripened by two methods for textural sale-grades
    • Singh, S. and S. D. Kulkarni (2006). "Comparison of bananas ripened by two methods for textural sale-grades." Journal of Applied Horticulture 8(1):78-81.
    • (2006) Journal of Applied Horticulture , vol.8 , Issue.1 , pp. 78-81
    • Singh, S.1    Kulkarni, S.D.2
  • 151
    • 79958141174 scopus 로고
    • Recognition and location of shapes in the hough parameter space. IEE
    • London WC2R OBL, UK
    • Sinha, P. K., et al. (1993). Recognition and location of shapes in the hough parameter space. IEE, The Institution of Electrical Engineers. Savoy Place. London WC2R OBL, UK.
    • (1993) The Institution of Electrical Engineers. Savoy Place
    • Sinha, P.K.1
  • 152
    • 0141677739 scopus 로고    scopus 로고
    • The effect of colour vision status on the detection and selection of fruits by tamarins (Saguinus spp.)
    • DOI 10.1242/jeb.00536
    • Smith, A. C., et al. (2003). "The effect of colour vision status on the detection and selection of fruits by tamarins (saguinus spp.)." The Journal of Experimental Biology 206:3159-3165. (Pubitemid 37181415)
    • (2003) Journal of Experimental Biology , vol.206 , Issue.18 , pp. 3159-3165
    • Smith, A.C.1    Buchanan-Smith, H.M.2    Surridge, A.K.3    Osorio, D.4    Mundy, N.I.5
  • 153
    • 33645698427 scopus 로고    scopus 로고
    • Modelling of apple fruit growth by application of image analysis
    • Stajnko, D. and Z. Èmelik (2005). "Modelling of apple fruit growth by application of image analysis." Agriculturae Conspectus Scientificus 70(2):59-64.
    • (2005) Agriculturae Conspectus Scientificus , vol.70 , Issue.2 , pp. 59-64
    • Stajnko, D.1    Èmelik, Z.2
  • 154
    • 0033902538 scopus 로고    scopus 로고
    • Inspecting pizza topping percentage and distribution by a computer vision method
    • DOI 10.1016/S0260-8774(00)00024-8
    • Sun, D.-W. (2000). "Inspecting pizza topping percentage and distribution by a computer vision method." Journal of Food Engineering 44:245-249. (Pubitemid 30585561)
    • (2000) Journal of Food Engineering , vol.44 , Issue.4 , pp. 245-249
    • Sun, D.-W.1
  • 156
    • 79958127651 scopus 로고    scopus 로고
    • Computer vision technology for food quality evaluation
    • Ed, International Series
    • Sun, D.-W., Ed. (2008). Computer vision technology for food quality evaluation, Food science and technology, International Series.
    • (2008) Food Science and Technology
    • Sun, D.-W.1
  • 158
    • 70349275221 scopus 로고    scopus 로고
    • Content-based image classification with wavelet relevance vector machines
    • Tolambiya, A., et al. (2010). "Content-based image classification with wavelet relevance vector machines." Soft Comput 14:129-136.
    • (2010) Soft Comput. , vol.14 , pp. 129-136
    • Tolambiya, A.1
  • 159
    • 0003112904 scopus 로고    scopus 로고
    • Texture analysis
    • C. H. Chen, L. F. Pau and P. S. P. Wang, World Scientific Publishing Co
    • Tuceryan, M. and A. K. Jain (1998). Texture analysis. The handbook of pattern recognition and computer vision. C. H. Chen, L. F. Pau and P. S. P. Wang, World Scientific Publishing Co: 207-248.
    • (1998) The Handbook of Pattern Recognition and Computer Vision , pp. 207-248
    • Tuceryan, M.1    Jain, A.K.2
  • 164
    • 51849164566 scopus 로고    scopus 로고
    • Gray level image processing using contrast enhancement and watershed segmentation with quantitative evaluation
    • Ye, Z., et al. (2008). Gray level image processing using contrast enhancement and watershed segmentation with quantitative evaluation. IEEE-CBMI 470-475.
    • (2008) IEEE-CBMI , pp. 470-475
    • Ye, Z.1
  • 166
    • 36949006289 scopus 로고    scopus 로고
    • Objective grading of fabric pilling with wavelet texture analysis
    • DOI 10.1177/0040517507081312
    • Zhang, J., et al. (2007). "Objective grading of fabric pilling with wavelet texture analysis." Textile Research Journal Vol (11):77(11):871-879. (Pubitemid 350238679)
    • (2007) Textile Research Journal , vol.77 , Issue.11 , pp. 871-879
    • Zhang, J.1    Wang, X.2    Stuart, P.3
  • 167
    • 66749115912 scopus 로고    scopus 로고
    • Automated feature extraction and content-based retrieval of pathology microscopic images using k-means clustering and code runlength probability distribution
    • University of Pittsburgh. Doctor of Philosophy
    • Zheng, L. (2005). Automated feature extraction and content-based retrieval of pathology microscopic images using k-means clustering and code runlength probability distribution. School of Information Sciences, University of Pittsburgh. Doctor of Philosophy: 155.
    • (2005) School of Information Sciences , pp. 155
    • Zheng, L.1
  • 168
    • 57349118530 scopus 로고    scopus 로고
    • Mean-shift-based color segmentation of images containing green vegetation
    • Zheng, L., et al. (2009). "Mean-shift-based color segmentation of images containing green vegetation". computers and electronics in agriculture 65 93-98.
    • (2009) Computers and Electronics in Agriculture , vol.65 , pp. 93-98
    • Zheng, L.1
  • 169
    • 79955065173 scopus 로고    scopus 로고
    • On-line detecting size and color of fruit by fusing information from images of three color camera systems
    • Zou, X. and J. Zhao (2009). "On-line detecting size and color of fruit by fusing information from images of three color camera systems." IFIP, Volume 294, Computer and Computing Technologies in Agriculture 2:1087-1095.
    • (2009) IFIP, Volume 294, Computer and Computing Technologies in Agriculture , vol.2 , pp. 1087-1095
    • Zou, X.1    Zhao, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.