Texture Classification and Segmentation by Cellular Neural Networks Using Genetic Learning

Computer Vision and Image Understanding

Volumn 71, Issue 3, 1998, Pages 255-270

  Szirányi, Tamás ^a   Csapodi, Márton ^a  

^a INSTITUTE OF EXPERIMENTAL MEDICINE   (Hungary)

Author keywords

Cellular neural network; Deconvolution; Genetic algorithm; Segmentation; Smart sensors; Supervised learning; Texture analysis; Unsupervised learning

Indexed keywords

COMPUTER VISION; DECISION MAKING; FEATURE EXTRACTION; GENETIC ALGORITHMS; IMAGE SEGMENTATION; IMAGE SENSORS; LEARNING ALGORITHMS; MATRIX ALGEBRA;

DECONVOLUTION; KERNEL MATRICES; SMART SENSORS; TEXTURE CLASSIFICATION;

CELLULAR NEURAL NETWORKS;

EID: 0032165568     PISSN: 10773142     EISSN: None     Source Type: Journal    
DOI: 10.1006/cviu.1997.0646     Document Type: Article

References (36)

1. L. O. Chua and L. Yang, Cellular neural networks: Theory, IEEE Trans. Circuits Systems 35, 1988, 1257-1272.
2. L. O. Chua and L. Yang, Cellular neural networks: Application, IEEE Trans. Circuits Systems 35, 1988, 1273-1290.
3. T. Roska and T. Szirányi, Classes of analogic CNN algorithms and their practical use in complex image processing tasks, in Proceedings, IEEE Nonlinear Signal and Image Processing, Vol. 2, pp. 767-770, Halkidiki (Greece), June 1995.
4. T. Roska and L. O. Chua, The CNN Universal Machine: An analogic array computer, IEEE Trans. Circuits Systems II 40, 1993, 163-173.
5. S. Espejo, R. Carmona, R. Dominguez-Castro, and A. Rodriguez-Vazquez A CNN universal chip in CMOS technology, Int. J. Circuit Theory Appl. 24, 1996, 93-110.
6. T. R. Reed and J. M. H. Buf, A review of recent texture segmentation and feature extraction techniques, CVGIP: Image Understanding 57, 1993, 359-372.
7. R. M. Haralick, K. Shanmugam, and I. Dinstein, Textural features for image classification, IEEE Trans. Systems Man Cybernet. 3, 1973, 610-621.
8. K. I. Laws, Textured Image Segmentation, Technical Report USCIPI Report 940, Department of Electronic Engineering, Image Processing Institute, University of Southern California, Los Angeles, 1980.
9. P. Perona and J. Malik, Scale-space and edge detection using anisotropic diffusion, IEEE Trans. Pattern Anal. Mach. Intelligence 12, 1990, 629-639.
10. R. Chelappa and S. Chatterjee, Classification of textures using Gaussian Markov random fields, IEEE Trans. Acoust. Speech Signal Process. 33, 1985, 959-963.
11. T. Szirányi and J. Zerubia, Markov random field image segmentation using cellular neural network, IEEE Trans. Circuits Systems I 44, 1997, 86-89.
12. S. N. Jayaramamurthy, Texture discrimination using digital deconvolution filters, in Proceedings, 5th International Conference on Pattern Recognition, Miami Beach, Florida, pp. 1184-1186, 1980.
13. G. Zelniker and F. J. Taylor, Advanced Digital Signal Processing, Dekker, New York, 1994.
14. A. K. Jain, Fundamentals of Digital Image Processing, Prentice-Hall International, London, 1989.
15. P. Rózsa, Lineáris Algebra és Alkalmazásai, Müszaki Könyvkiadó Publ., Budapest, 1976. [In Hungarian]
16. J. Ens and P. Lawrence, An investigation of methods for determining depth from focus, IEEE Trans. Pattern Anal. Mach. Intelligence 15, 1993, 97-108.
17. K. Crounse, T. Roska, and L. O. Chua, Image halftoning with cellular neural networks, IEEE Trans. Circuits Systems 40, 1993, 267-283.
18. T. Szirányi, Robustness of cellular neural networks in image deblurring and texture segmentation, Int. J. Circuit Theory Appl. 24, 1996, 381-396.
19. L. O. Chua and T. Roska, Stability of class of nonreciprocal cellular neural networks, IEEE Trans. Circuits Systems 37, 1990, 1520-1527.
20. T. Kozek, T. Roska, and L. O. Chua, Genetic algorithm for CNN template learning, IEEE Trans. Circuits Systems 40, 1993, 392-402.
21. D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning Addison-Wesley, New York, 1993.
22. J. P. Miller, T. Roska, T. Szirányi, K. R. Crounse, L. Nemes and L. O. Chua, Deblurring of images by cellular neural networks with applications to microscopy, in Proceedings, 3rd IEEE Workshop on CNN and their Applications, Rome, pp. 237-242, 1994.
23. L. O. Chua and C. W. Wu, On the universe of stable cellular neural networks, Int. J. Circuit Theory Appl. 20, 1992, 497-517.
24. T. Szirányi and J. Csicsvári, High speed character recognition using a dual cellular neural network architecture (CNND), IEEE Trans. Circuits Systems II 40, 1993, 223-231.
25. T. Roska, G. Bártfay, P. Szolgay, T. Szirányi, A. Radványi, T. Kozek, Zs. Ugray, and Á. Zarándy, A digital multiprocessor hardware accelerator board for cellular neural networks: CNN-HAC, Int. J. Circuit Theory Appl. 20, 1992, 589-599.
26. P. Kinget and M. S. J. Steyaert, A programmable analogue cellular neural network CMOS chip for high speed image processing, IEEE J. Solid-State Circuits 30, 1995, 235-243.
27. R. Dominguez-Castro, S. M. Espejo, A. Rodriguez-Vazquez, R. Carmona, P. Földesy, A. Zarándy, P. Szolgay, T. Szirányi, and T. Roska, A 0.8 μm CMOS 2-D programmable mixed-signal focal-plane array processor with on-chip binary imaging and instructions storage, IEEE J. Solid-State Circuits 32, 1997, 1013-1026.
28. M. Csapodi and T. Roska, Adaptive histogram equalization with cellular neural networks, in Proceedings, 4th IEEE Conference on Cellular Neural Networks and Applications, CNNA-96, Seville, pp. 81-86, 1996.
29. P. Brodatz, Textures: A Photographic Album for Artists and Designers, Dover, New York, 1966.
30. T. Szirányi and Á. Böröczky, Overall picture degradation error for scanned images and the efficiency of character recognition, Opt. Enging. 30, 1991, 1878-1885.
31. T. Szirányi, Subpixel pattern recognition by image histograms, Pattern Recognition 27, 1994, 1079-1092.
32. J. You and H. A. Cohen, Classification and segmentation of rotated and scaled textured images using texture tuned masks, Pattern Recognition 26, 1993, 245-258.
33. J. M. H. Buf, M. Kardan, and M. Spann, Texture feature performance for image segmentation, Pattern Recognition 23, 1990, 291-309.
34. M. K. Tsatsanis and G. B. Giannakis, Object and texture classification using higher order statistics, IEEE Trans. Pattern Anal. Mach. Intelligence 14, 1992, 733-750.
35. M. Pietikainen, A. Rosenfeld, and L. S. Davis, Experiments with texture classification using averages of local pattern matches, IEEE Trans. Systems Man Cybernet. 13, 1983, 421-426.
36. H. H. Nguyen and P. Cohen, Gibbs random fields, fuzzy clustering, and the unsupervised segmentation of textured images, CVGIP: Graph. Models Image Process. 55, 1993, 1-19.