메뉴 건너뛰기




Volumn 29, Issue 6, 1996, Pages 1019-1029

The use of convolution operators for detecting contaminants in food images

Author keywords

Artificial neural networks; Contaminant detection; Convolution filtering; Food processing; Texture analysis; X ray image

Indexed keywords

FOOD PROCESSING; IMAGE ANALYSIS; IMPURITIES; MATHEMATICAL OPERATORS; NEURAL NETWORKS; SIGNAL FILTERING AND PREDICTION; STATISTICAL METHODS; SUBSTRATES;

EID: 0030163956     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(96)00135-5     Document Type: Article
Times cited : (23)

References (40)
  • 1
    • 0029358175 scopus 로고
    • The use of variance and entropie thresholding methods for image segmentation
    • I. Hannah, D. Patel and E. R. Davies, The use of variance and entropie thresholding methods for image segmentation, Pattern Recognition 28, 1135-1143 (1995).
    • (1995) Pattern Recognition , vol.28 , pp. 1135-1143
    • Hannah, I.1    Patel, D.2    Davies, E.R.3
  • 3
    • 0027387205 scopus 로고
    • A review of recent texture segmentation and feature extraction techniques
    • T. R. Reed and J. M. H. Du Buf, A review of recent texture segmentation and feature extraction techniques, CVGIP: Image Understanding 57, 359-372 (1993).
    • (1993) CVGIP: Image Understanding , vol.57 , pp. 359-372
    • Reed, T.R.1    Du Buf, J.M.H.2
  • 4
    • 0020890805 scopus 로고
    • Application of principal component analysis to the inspection of industrial goods
    • F. Ade, Application of principal component analysis to the inspection of industrial goods, Proc. SPIE Int. Techn. Conf. 397, 216-223 (1983).
    • (1983) Proc. SPIE Int. Techn. Conf. , vol.397 , pp. 216-223
    • Ade, F.1
  • 6
    • 0039951184 scopus 로고
    • Texture image classification and segmentation using RANK-order clustering
    • The Hague, Netherlands
    • D. Patel and T. J. Stonham, Texture image classification and segmentation using RANK-order clustering, Proc. Intl. Conf. Pattern Recognition pp. 92-95. The Hague, Netherlands (1992).
    • (1992) Proc. Intl. Conf. Pattern Recognition , pp. 92-95
    • Patel, D.1    Stonham, T.J.2
  • 8
    • 0009834328 scopus 로고
    • Wigner based crack detection in textured images
    • Maastricht, The Netherlands
    • K. Y. Song, M. Petrou and J. Kittler, Wigner based crack detection in textured images, IEE Intl. Conf. Image Process, pp. 315-318. Maastricht, The Netherlands (1992).
    • (1992) IEE Intl. Conf. Image Process. , pp. 315-318
    • Song, K.Y.1    Petrou, M.2    Kittler, J.3
  • 9
    • 0016939601 scopus 로고
    • A comparative study of texture measures for terrain classifications
    • J. S. Weszka, C. R. Dyer and A. Rosenfeld, A comparative study of texture measures for terrain classifications, IEEE Trans. Syst., Man Cybernet. 6, 269-285 (1976).
    • (1976) IEEE Trans. Syst., Man Cybernet. , vol.6 , pp. 269-285
    • Weszka, J.S.1    Dyer, C.R.2    Rosenfeld, A.3
  • 11
    • 0042789465 scopus 로고
    • A note on using the fractal dimension for segmentation
    • Anneapolis, U.S.A.
    • G. G. Medioni and Y. Y. Yasumoto, A note on using the Fractal dimension for segmentation, IEEE Comput. Vis. Workshop pp. 24-30. Anneapolis, U.S.A. (1994).
    • (1994) IEEE Comput. Vis. Workshop , pp. 24-30
    • Medioni, G.G.1    Yasumoto, Y.Y.2
  • 14
    • 0026900840 scopus 로고
    • Performance evaluation for four classes of textural features
    • P. P. Ohanian and R. C. Dubes, Performance evaluation for four classes of textural features, Pattern Recognition 25, 819-833 (1992)..
    • (1992) Pattern Recognition , vol.25 , pp. 819-833
    • Ohanian, P.P.1    Dubes, R.C.2
  • 15
    • 0043290474 scopus 로고
    • Fast texture analysis using fractal dimension or co-occurrence matrices
    • F. M. Waltz, Fast texture analysis using fractal dimension or co-occurrence matrices, SPIE Conf. Appl. Mach. Vis. (1994).
    • (1994) SPIE Conf. Appl. Mach. Vis.
    • Waltz, F.M.1
  • 16
    • 0029513515 scopus 로고
    • Crucial issues in the design of a real-time contaminant detection system for food products
    • D. Patel, E. R. Davies and A. I. C. Johnstone, Crucial issues in the design of a real-time contaminant detection system for food products, Real-Time Imaging 1, 397-407 (1995).
    • (1995) Real-time Imaging , vol.1 , pp. 397-407
    • Patel, D.1    Davies, E.R.2    Johnstone, A.I.C.3
  • 17
    • 0025198768 scopus 로고
    • Texture feature performance for image segmentation
    • J. M. H. Du Buf, M. Kardan and M. Spann, Texture feature performance for image segmentation, Pattern Recognition 23, 291-309 (1990).
    • (1990) Pattern Recognition , vol.23 , pp. 291-309
    • Du Buf, J.M.H.1    Kardan, M.2    Spann, M.3
  • 18
    • 0004282725 scopus 로고
    • Ph.D. Dissertation, University of Southern California, U.S.A.
    • K. I. Laws, Textured image segmentation, Ph.D. Dissertation, University of Southern California, U.S.A. (1980).
    • (1980) Textured Image Segmentation
    • Laws, K.I.1
  • 19
    • 0022752517 scopus 로고
    • Local linear transforms for texture measurements
    • M. Unser, Local linear transforms for texture measurements, Signal Process. 11, 61-69 (1986).
    • (1986) Signal Process. , vol.11 , pp. 61-69
    • Unser, M.1
  • 20
    • 0020751754 scopus 로고
    • Experiments with texture classification using averages of local pattern matches
    • M. Pietikäinen, A Rosenfeld and L. S. Davis, Experiments with texture classification using averages of local pattern matches, IEEE Trans. Syst., Man Cybernet. 13, 421-426 (1983).
    • (1983) IEEE Trans. Syst., Man Cybernet. , vol.13 , pp. 421-426
    • Pietikäinen, M.1    Rosenfeld, A.2    Davis, L.S.3
  • 21
    • 0024856995 scopus 로고
    • Unsupervised textured image segmentation using feature smoothing and probabilistic relaxation techniques
    • Y. Hsiao and A. A. Sawchuk, Unsupervised textured image segmentation using feature smoothing and probabilistic relaxation techniques, Comput. Vis. Graphics Image Process. 48, 1-21 (1989).
    • (1989) Comput. Vis. Graphics Image Process. , vol.48 , pp. 1-21
    • Hsiao, Y.1    Sawchuk, A.A.2
  • 22
    • 0020812143 scopus 로고
    • Characterisation of textures by eigenfilters
    • F. Ade, Characterisation of textures by eigenfilters, Signal Process. 5, 451-457 (1983).
    • (1983) Signal Process. , vol.5 , pp. 451-457
    • Ade, F.1
  • 23
    • 0023331258 scopus 로고
    • An introduction to neural computing
    • R. P. Lippman, An introduction to neural computing, IEEE ASSP Mag. 4, 4-22 (1987).
    • (1987) IEEE ASSP Mag. , vol.4 , pp. 4-22
    • Lippman, R.P.1
  • 25
    • 0039830274 scopus 로고
    • Unsupervised learning procedures for neural networks
    • S. Becker, Unsupervised learning procedures for neural networks, Intl. J. Neural Syst. 2, 7-33 (1991).
    • (1991) Intl. J. Neural Syst. , vol.2 , pp. 7-33
    • Becker, S.1
  • 26
    • 0002399288 scopus 로고
    • Neural networks, principal components and sub-spaces
    • E. Oja, Neural networks, principal components and sub-spaces, Intl. J. Neural Syst. 1, 61-68 (1989).
    • (1989) Intl. J. Neural Syst. , vol.1 , pp. 61-68
    • Oja, E.1
  • 27
    • 0024883243 scopus 로고
    • Optimal unsupervised learning in a single-layer linear feedforward neural network
    • T. D. Sanger, Optimal unsupervised learning in a single-layer linear feedforward neural network, Neural Networks 2, 459-473 (1989).
    • (1989) Neural Networks , vol.2 , pp. 459-473
    • Sanger, T.D.1
  • 28
    • 84956074083 scopus 로고
    • A self-organising network for principal component analysis
    • J. Rubner and P. Tavan, A self-organising network for principal component analysis, Europhys. Lett. 10, 693-698 (1989).
    • (1989) Europhys. Lett. , vol.10 , pp. 693-698
    • Rubner, J.1    Tavan, P.2
  • 30
    • 0028722252 scopus 로고
    • Texture analysis for foreign object detection using a single layer neural network
    • Orlando, U.S.A.
    • D. Patel, I. Hannah and E. R. Davies, Texture analysis for foreign object detection using a single layer neural network, Proc. IEEE World Congr. Comput. Intell. pp. 4265-4268. Orlando, U.S.A. (1994).
    • (1994) Proc. IEEE World Congr. Comput. Intell. , pp. 4265-4268
    • Patel, D.1    Hannah, I.2    Davies, E.R.3
  • 31
    • 0011884426 scopus 로고
    • Segmentation of visually similar textures by convolution filtering
    • K. K. Benke and D. R. Skinner, Segmentation of visually similar textures by convolution filtering, Austral. Comput. J. 19, 134-139 (1987).
    • (1987) Austral. Comput. J. , vol.19 , pp. 134-139
    • Benke, K.K.1    Skinner, D.R.2
  • 32
    • 0022098435 scopus 로고
    • Uncertainty relation for resolution in space, spatial frequency and orientation, optimised by two-dimensional visual cortical filters
    • J. Daugman, Uncertainty relation for resolution in space, spatial frequency and orientation, optimised by two-dimensional visual cortical filters. J. Opt. Soc. Am. A/2, 1160-1169 (1985).
    • (1985) J. Opt. Soc. Am. , vol.A-2 , pp. 1160-1169
    • Daugman, J.1
  • 33
    • 0023016186 scopus 로고
    • Texture discrimination by Gabor filters
    • M. Turner, Texture discrimination by Gabor filters, Biolog. Cybernet. 55, 71-82 (1986).
    • (1986) Biolog. Cybernet. , vol.55 , pp. 71-82
    • Turner, M.1
  • 34
    • 0024314288 scopus 로고
    • Gabor filters as texture discriminator
    • I. Fogel and D. Sagi, Gabor filters as texture discriminator, Biolog. Cybernet. 61, 103-113 (1989).
    • (1989) Biolog. Cybernet. , vol.61 , pp. 103-113
    • Fogel, I.1    Sagi, D.2
  • 35
    • 0026398342 scopus 로고
    • Unsupervised texture segmentation using Gabor filters
    • A. K. Jain and F. Farrokhnia, Unsupervised texture segmentation using Gabor filters, Pattern Recognition 24, 1167-1186 (1991).
    • (1991) Pattern Recognition , vol.24 , pp. 1167-1186
    • Jain, A.K.1    Farrokhnia, F.2
  • 36
    • 0027148493 scopus 로고
    • Determination Gabor-filter parameters for texture segmentation
    • D. F. Dunn, W. E. Higgins and J. Wakely, Determination Gabor-filter parameters for texture segmentation, Intell. Robots Comput. Vis. SPIE 1826, 51-63 (1992).
    • (1992) Intell. Robots Comput. Vis. SPIE , vol.1826 , pp. 51-63
    • Dunn, D.F.1    Higgins, W.E.2    Wakely, J.3
  • 37
    • 0029230450 scopus 로고
    • An accurate set-up of Gabor parameters for texture classification
    • D. Patel and T. J. Stonham, An accurate set-up of Gabor parameters for texture classification, Image Process. Visual Commun. SPIE 2501, 894-903 (1995).
    • (1995) Image Process. Visual Commun. SPIE , vol.2501 , pp. 894-903
    • Patel, D.1    Stonham, T.J.2
  • 39
    • 0041787313 scopus 로고
    • Texture analysis using neural networks and mode filters
    • Surrey, U.K.
    • D. Greenhill and E. R. Davies, Texture analysis using neural networks and mode filters. Proc. Bri. Mach. Vis. Asso. Conf. pp. 509-518. Surrey, U.K. (1993).
    • (1993) Proc. Bri. Mach. Vis. Asso. Conf. , pp. 509-518
    • Greenhill, D.1    Davies, E.R.2
  • 40
    • 0027245247 scopus 로고
    • Learning higher order correlations
    • J. Taylor and S. Coombes, Learning higher order correlations, Neural Networks 6, 423-427 (1993).
    • (1993) Neural Networks , vol.6 , pp. 423-427
    • Taylor, J.1    Coombes, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.