메뉴 건너뛰기




Volumn 118, Issue , 2015, Pages 396-407

Discrete wavelets transform for improving greenness image segmentation in agricultural images

Author keywords

Agricultural images; Binarization; Image segmentation; Textures; Thresholding; Wavelets

Indexed keywords

AGRICULTURE; CROPS; EXTRACTION; IMAGE TEXTURE; TEXTURES; VEGETATION; WAVELET TRANSFORMS;

EID: 84943813092     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2015.09.011     Document Type: Article
Times cited : (51)

References (57)
  • 1
    • 84863671281 scopus 로고    scopus 로고
    • Classification of crops and weeds from digital images: a support vector machine approach
    • Ahmed F., Al-Mamun H.A., Bari A.H., Hossain E., Kwan P. Classification of crops and weeds from digital images: a support vector machine approach. Crop Prot. 2012, 40:98-104.
    • (2012) Crop Prot. , vol.40 , pp. 98-104
    • Ahmed, F.1    Al-Mamun, H.A.2    Bari, A.H.3    Hossain, E.4    Kwan, P.5
  • 4
    • 56349122422 scopus 로고    scopus 로고
    • An expert system based on fuzzy entropy for automatic threshold selection in image process
    • Avci E., Avci D. An expert system based on fuzzy entropy for automatic threshold selection in image process. Expert Syst. Appl. 2009, 36(2):3077-3085.
    • (2009) Expert Syst. Appl. , vol.36 , Issue.2 , pp. 3077-3085
    • Avci, E.1    Avci, D.2
  • 5
    • 84904489233 scopus 로고    scopus 로고
    • Vegetation segmentation robust to illumination variations based on clustering and morphology modelling
    • Bai X., Cao Z., Wang Y., Yu Z., Hu Z., Zhang X., Li C. Vegetation segmentation robust to illumination variations based on clustering and morphology modelling. Biosyst. Eng. 2014, 125:80-97.
    • (2014) Biosyst. Eng. , vol.125 , pp. 80-97
    • Bai, X.1    Cao, Z.2    Wang, Y.3    Yu, Z.4    Hu, Z.5    Zhang, X.6    Li, C.7
  • 8
    • 57349117127 scopus 로고    scopus 로고
    • Wavelet transform to discriminate between crop and weed in perspective agronomic images
    • Bossu J., Gée Ch., Jones G., Truchetet F. Wavelet transform to discriminate between crop and weed in perspective agronomic images. Comput. Electron. Agric. 2009, 133-143.
    • (2009) Comput. Electron. Agric. , pp. 133-143
    • Bossu, J.1    Gée, C.2    Jones, G.3    Truchetet, F.4
  • 10
    • 33947647946 scopus 로고    scopus 로고
    • Crop identification with wavelet packet analysis and weighted Bayesian distance
    • Chou J.J., Chen C.P., Yeh J.T. Crop identification with wavelet packet analysis and weighted Bayesian distance. Comput. Electron. Agric. 2007, 57(1):88-98.
    • (2007) Comput. Electron. Agric. , vol.57 , Issue.1 , pp. 88-98
    • Chou, J.J.1    Chen, C.P.2    Yeh, J.T.3
  • 13
    • 77049108892 scopus 로고    scopus 로고
    • A framework for the definition of metamodels for computer-aided software engineering tools
    • García-Magariño I., Fuentes-Fernández R., Gomez-Sanz J.J. A framework for the definition of metamodels for computer-aided software engineering tools. Inf. Software Technol. 2010, 52(4):422-435.
    • (2010) Inf. Software Technol. , vol.52 , Issue.4 , pp. 422-435
    • García-Magariño, I.1    Fuentes-Fernández, R.2    Gomez-Sanz, J.J.3
  • 14
    • 33947533630 scopus 로고    scopus 로고
    • A new algorithm for automatic Rumex obtusifolius detection in digital image using colour and texture features and the influence of image resolution
    • Gebhardt S., Kaühbauch W.A. A new algorithm for automatic Rumex obtusifolius detection in digital image using colour and texture features and the influence of image resolution. Precision Agric. 2007, 8(1):1-13.
    • (2007) Precision Agric. , vol.8 , Issue.1 , pp. 1-13
    • Gebhardt, S.1    Kaühbauch, W.A.2
  • 19
    • 33644854567 scopus 로고    scopus 로고
    • Automated crop and weed monitoring in widely spaced cereals
    • Hague T., Tillet N., Wheeler H. Automated crop and weed monitoring in widely spaced cereals. Precision Agric. 2006, 1(1):95-113.
    • (2006) Precision Agric. , vol.1 , Issue.1 , pp. 95-113
    • Hague, T.1    Tillet, N.2    Wheeler, H.3
  • 21
    • 61349112689 scopus 로고    scopus 로고
    • Weed image classification using Gabor wavelet and gradient field distribution
    • Ishak A.J., Hussain A., Mustafa M.M. Weed image classification using Gabor wavelet and gradient field distribution. Comput. Electron. Agric. 2009, 66(1):53-61.
    • (2009) Comput. Electron. Agric. , vol.66 , Issue.1 , pp. 53-61
    • Ishak, A.J.1    Hussain, A.2    Mustafa, M.M.3
  • 22
    • 84863950132 scopus 로고    scopus 로고
    • Survey on automatic segmentation of relevant textures in agricultural images. In: Advances in Engineering, Science and Management (ICAESM), 2012
    • Joycy, J.S., Prabavathy, K. 2012. Survey on automatic segmentation of relevant textures in agricultural images. In: Advances in Engineering, Science and Management (ICAESM), 2012 International Conference, pp. 26-32.
    • (2012) International Conference , pp. 26-32
    • Joycy, J.S.1    Prabavathy, K.2
  • 23
    • 84943374467 scopus 로고    scopus 로고
    • Crop growth estimation system using machine vision
    • The 2003 IEEE/ASME Internat. Conf. on Advanced Intelligent Mechatronics.
    • Kataoka, T., Kaneko, T., Okamoto, H., Hata, S. 2003. Crop growth estimation system using machine vision. In: The 2003 IEEE/ASME Internat. Conf. on Advanced Intelligent Mechatronics.
    • (2003)
    • Kataoka, T.1    Kaneko, T.2    Okamoto, H.3    Hata, S.4
  • 24
    • 70350025069 scopus 로고    scopus 로고
    • Estimation of leaf area index in ceral crops using red-green images
    • Kirk K., Andersen H.J., Thomsen A.G., Jørgensen J.R. Estimation of leaf area index in ceral crops using red-green images. Biosyst. Eng. 2009, 104:308-317.
    • (2009) Biosyst. Eng. , vol.104 , pp. 308-317
    • Kirk, K.1    Andersen, H.J.2    Thomsen, A.G.3    Jørgensen, J.R.4
  • 27
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • Lowe D.G. Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision 2004, 60:91-110.
    • (2004) Int. J. Comput. Vision , vol.60 , pp. 91-110
    • Lowe, D.G.1
  • 28
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition: the wavelet representation
    • Mallat S.G. A theory for multiresolution signal decomposition: the wavelet representation. Pattern Anal. Mach. Intelligence, IEEE Trans. 1989, 11(7):674-693. 10.1109/34.192463.
    • (1989) Pattern Anal. Mach. Intelligence, IEEE Trans. , vol.11 , Issue.7 , pp. 674-693
    • Mallat, S.G.1
  • 29
    • 0032122198 scopus 로고    scopus 로고
    • Textural imaging and discriminant analysis for distinguishing weeds for spot spraying
    • Meyer G., Metha T., Kocher M., Mortensen D., Samal A. Textural imaging and discriminant analysis for distinguishing weeds for spot spraying. Trans. ASAE 1998, 41(4):1189-1197.
    • (1998) Trans. ASAE , vol.41 , Issue.4 , pp. 1189-1197
    • Meyer, G.1    Metha, T.2    Kocher, M.3    Mortensen, D.4    Samal, A.5
  • 30
    • 1142290141 scopus 로고    scopus 로고
    • Intensified fuzzy clusters for classifying plant, soil, and residue regions of interest from color images
    • Meyer G.E., Camargo-Neto J., Jones D.D., Hindman T.W. Intensified fuzzy clusters for classifying plant, soil, and residue regions of interest from color images. Comput. Electron. Agric. 2004, 42:161-180.
    • (2004) Comput. Electron. Agric. , vol.42 , pp. 161-180
    • Meyer, G.E.1    Camargo-Neto, J.2    Jones, D.D.3    Hindman, T.W.4
  • 31
    • 47049087271 scopus 로고    scopus 로고
    • Verification of color vegetation indices for automated crop imaging applications
    • Meyer G.E., Camargo-Neto J. Verification of color vegetation indices for automated crop imaging applications. Comput. Electron. Agric. 2008, 63:282-293.
    • (2008) Comput. Electron. Agric. , vol.63 , pp. 282-293
    • Meyer, G.E.1    Camargo-Neto, J.2
  • 35
    • 0018306059 scopus 로고
    • A threshold selection method from gray-level histogram
    • Otsu N. A threshold selection method from gray-level histogram. IEEE Trans. Syst. Man Cybern. 1979, 9:62-66.
    • (1979) IEEE Trans. Syst. Man Cybern. , vol.9 , pp. 62-66
    • Otsu, N.1
  • 36
    • 47149115270 scopus 로고    scopus 로고
    • Classification of crops and weeds extracted by active shape models
    • Persson M., Åstrand B. Classification of crops and weeds extracted by active shape models. Biosyst. Eng. 2008, 100(4):484-497.
    • (2008) Biosyst. Eng. , vol.100 , Issue.4 , pp. 484-497
    • Persson, M.1    Åstrand, B.2
  • 37
    • 3042554837 scopus 로고    scopus 로고
    • A wavelet-based image fusion tutorial
    • Pajares G., de la Cruz J.M. A wavelet-based image fusion tutorial. Pattern Recognit. 2004, 37(9):1855-1872.
    • (2004) Pattern Recognit. , vol.37 , Issue.9 , pp. 1855-1872
    • Pajares, G.1    de la Cruz, J.M.2
  • 38
    • 3042587090 scopus 로고    scopus 로고
    • Visión por Computador: Imágenes Digitales y Aplicaciones
    • RA-MA, Madrid.
    • Pajares, G., Cruz, J.M. 2007. Visión por Computador: Imágenes Digitales y Aplicaciones, RA-MA, Madrid.
    • (2007)
    • Pajares, G.1    Cruz, J.M.2
  • 39
    • 0002900357 scopus 로고    scopus 로고
    • The case against accuracy estimation for comparing induction algorithms
    • Proceeding of the 15th International Conference on Machine Learning, Morgan Kaufmann, San Francisco, CA
    • Provost, F., Fawcett, T., Kohavi, R. 1998. The case against accuracy estimation for comparing induction algorithms. In: Proceeding of the 15th International Conference on Machine Learning, Morgan Kaufmann, San Francisco, CA, pp. 445-453.
    • (1998) , pp. 445-453
    • Provost, F.1    Fawcett, T.2    Kohavi, R.3
  • 40
    • 0023331286 scopus 로고
    • Vision-based guidance of an agriculture tractor
    • Reid J., Searcy S. Vision-based guidance of an agriculture tractor. Control Syst. Mag., IEEE 1987, 7(2):39-43.
    • (1987) Control Syst. Mag., IEEE , vol.7 , Issue.2 , pp. 39-43
    • Reid, J.1    Searcy, S.2
  • 41
    • 84943752355 scopus 로고    scopus 로고
    • Robot fleets for highly effective agriculture and forestry management
    • RHEA. 2014. Robot fleets for highly effective agriculture and forestry management. Available online: http://www.rhea-project.eu/.
    • (2014)
  • 44
    • 67649090191 scopus 로고    scopus 로고
    • Testing different color spaces based on hue for the environmentally adaptive segmentation algorithm (EASA)
    • Ruiz-Ruiz G., Gomez-Gil J., Navas-Gracia L.M. Testing different color spaces based on hue for the environmentally adaptive segmentation algorithm (EASA). Comput. Electron. Agric. 2009, 68(1):88-96.
    • (2009) Comput. Electron. Agric. , vol.68 , Issue.1 , pp. 88-96
    • Ruiz-Ruiz, G.1    Gomez-Gil, J.2    Navas-Gracia, L.M.3
  • 45
    • 0342377791 scopus 로고    scopus 로고
    • High accuracy depth measurement using multi-view stereo
    • Russ T.D., Reeves A.P. High accuracy depth measurement using multi-view stereo. Proc. Vision Interface Conf. 1999, 103-110.
    • (1999) Proc. Vision Interface Conf. , pp. 103-110
    • Russ, T.D.1    Reeves, A.P.2
  • 46
    • 27944484089 scopus 로고    scopus 로고
    • Texture as the basis for individual tree identification
    • Samal A., Brandle J.R., Zhang D. Texture as the basis for individual tree identification. Inf. Sci. 2006, 176(5):565-576.
    • (2006) Inf. Sci. , vol.176 , Issue.5 , pp. 565-576
    • Samal, A.1    Brandle, J.R.2    Zhang, D.3
  • 47
    • 1842422015 scopus 로고    scopus 로고
    • Survey over image thresholding techniques and quantitative performance evaluation
    • Sankur B., Sezgin M. Survey over image thresholding techniques and quantitative performance evaluation. J. Electron. Imaging 2004, 13(1).
    • (2004) J. Electron. Imaging , vol.13 , Issue.1
    • Sankur, B.1    Sezgin, M.2
  • 48
    • 84857097295 scopus 로고    scopus 로고
    • Analysis and comparison of texture features for content based image retrieval
    • Selvarajah S., Kodituwakku S.R. Analysis and comparison of texture features for content based image retrieval. Int. J. Latest Trends Comput. 2011, 2(1).
    • (2011) Int. J. Latest Trends Comput. , vol.2 , Issue.1
    • Selvarajah, S.1    Kodituwakku, S.R.2
  • 49
    • 85015547207 scopus 로고    scopus 로고
    • TheMathworks. 2012. http://www.mathworks.com/.
    • (2012)
  • 50
    • 0032465299 scopus 로고    scopus 로고
    • Environmentally adaptive segmentation algorithm for outdoor image segmentation
    • Tian L.F., Slaughter D.C. Environmentally adaptive segmentation algorithm for outdoor image segmentation. Comput. Electron. Agric. 1998, 21(3):153-168.
    • (1998) Comput. Electron. Agric. , vol.21 , Issue.3 , pp. 153-168
    • Tian, L.F.1    Slaughter, D.C.2
  • 51
    • 53649104500 scopus 로고    scopus 로고
    • Color image segmentation method based on statistical pattern recognition for plant disease diagnose
    • Tian Y.W., Li C.H. Color image segmentation method based on statistical pattern recognition for plant disease diagnose. J. Jilin Univ. Technol. (Nat. Sci. Ed.) 2004, 2:028.
    • (2004) J. Jilin Univ. Technol. (Nat. Sci. Ed.) , vol.2 , pp. 028
    • Tian, Y.W.1    Li, C.H.2
  • 54
    • 0030216623 scopus 로고    scopus 로고
    • A survey on evaluation methods for image segmentation
    • Zhang Y.J. A survey on evaluation methods for image segmentation. Pattern Recognit. 1996, 29(8):1335-1346.
    • (1996) Pattern Recognit. , vol.29 , Issue.8 , pp. 1335-1346
    • Zhang, Y.J.1
  • 55
    • 57349118530 scopus 로고    scopus 로고
    • Mean-shift-based color segmentation of images containing green vegetation
    • Zheng L., Zhang J., y Wang Q. Mean-shift-based color segmentation of images containing green vegetation. Comput. Electron. Agric. 2009, 65:93-98.
    • (2009) Comput. Electron. Agric. , vol.65 , pp. 93-98
    • Zheng, L.1    Zhang, J.2    y Wang, Q.3
  • 56
    • 77951138969 scopus 로고    scopus 로고
    • Segmentation of green vegetation of crop canopy images based on mean shift and Fisher linear discriminate
    • Zheng L., Shi D., Zhang J. Segmentation of green vegetation of crop canopy images based on mean shift and Fisher linear discriminate. Pattern Recognit. Lett. 2010.
    • (2010) Pattern Recognit. Lett.
    • Zheng, L.1    Shi, D.2    Zhang, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.