Abstract
Texture has found many applications in computer vision. Examples where texture analysis methods are being used include: (i) classifying images and browsing images based on their texture; (ii) segmenting an input image into regions of homogeneous texture; (iii) extracting surface shape information from ‘texture gradient’; and (iv) synthesizing textures that resemble natural images for various computer graphics applications. Image texture is characterized by the gray value or color ‘pattern’ in a neighborhood surrounding the pixel. Different methods of texture analysis capture this gray-level pattern by extracting textural features in a localized input region. Practical texture-based image processing methods define texture in a manner that is most appropriate for achieving a given goal and ignore the issue whether the input image really contains any texture. This paper describes attempts to learn ‘optimal’ texture discrimination masks using neural networks.
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References
Caelli, T.: Visual Perception: Theory and Practice. Pergamon Press. (1981)
Cross, G.C, Jain, A.K.: Markov Random Field Texture Models. IEEE Trans. on PAMI. PAMI-5 (1983) 25–39
Daugman, J.G.: Uncertainty relation for resolution in space, spatial-frequency, and orientation optimized by two-dimensional visual cortical filters. J. Opt. Soc. Amer. 2(7) (1985) 1160–1169
Elfadel, I.M., Picard, R.W.: Gibbs random fields, cooccurrences, and texture modeling. IEEE Trans. on PAMI. PAMI-16 (1994) 24–37
Faloutsos, C., Barber, R., Flickner, M., Hafner, J., Niblack, W., Petkovic, D., Equitz, W.: Efficient and Effective Querying by Image Content. JIIS. 3 (1994) 231–262
Gabor, D.: Theory of communication. J. IEE (London). 93 (1946) 429–457
Haralick, R.M.: Statistical and Structural Approaches to Texture. Proc. of the IEEE 5 (1979) 786–804
Jain, A.K., Bhattacharjee, S.: Text Segmentation Using Gabor Filters for Automatic Document Processing. Machine Vision and Appl. 5(3) (1992) 169–184
Jain, A.K., Chen, Y.: Barcode Localization Using Texture Analysis. Proc. Sec. Int'l Conf. on Document Anal. and Rec., Tsukuba city, Japan. (1993) 41–44
Jain, A.K., Dubes, R.C.: Algorithms for Clustering Data. Prentice Hall, New Jersey. (1988)
Jain, A.K., Farrokhnia, F.: Unsupervised Texture Segmentation Using Gabor Filters. Pat. Rec. 12 (1991) 1167–1186
Jain, A.K., Zhong, Y.: Page Layout Segmentation based on Texture Analysis. (under review)
Julesz, B., Gilbert, E.N., Shepp, L.A., Frisch, H.L.: Inability of humans to discriminate between textures that agree in second-order statistics — revisited. Perception. 2 (1973) 391–405
Karu, K., Jain, A.K., Bolle, R.M.: Is there any texture on the image? Tech. report, Michigan State University. (1995)
Mao, J., Jain, A.K.: Texture Classification and Segmentation Using Multiresolution Simultaneous Autoregressive Models. Pat. Rec. 2 (1992) 173–188
Mao, J., Mohiuddin, K., Jain, A.K.: Minimal Network Design and Feature Selection Through Node Pruning. Proc. 12th ICPR, Jerusalem. 2 (1994) 622–624
Pankanti, S., Jain, A.K.: Integrating Vision Modules: Stereo, Shading, Grouping, and Line Labeling. IEEE Trans. on PAMI. (to appear)
Pentland, A.: Fractal-based description of natural scenes. IEEE Trans. on PAMI. PAMI-9 (1984) 661–674
Picard, R.W., Minka, T.P.: Vision texture for annotation. Multimedia Systems. 3 (1995) 3–14
Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning Internal Representations by Error Propagation. In D.E. Rumelhart and J.L. McClelland, editors, Parallel Distributed Processing: Exploration in the Microstructure of Cognition, Cambridge, MA: MIT Press. 1 (1986) 318–362
Schistad Solberg, A.H., Jain, A.K.: Texture Analysis of SAR Images: A comparative Study. IEEE Trans. on Geoscience and Remote Sensing. (under review)
Tamura, H., Mori, S., Yamawaki, Y.: Textural Features Corresponding to Visual Perception. IEEE Trans. on SMC. SMC-8 (1978) 460–473
Tuceryan, M., Jain, A.K.: Texture Analysis. Chapter 2.1 in Handbook of Pattern Recognition and Computer Vision, C.H. Chen, L.F. Pau, P.S.P. Wang (eds.) World Scientific Publishing Co. (1993) 235–276
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Jain, A.K., Karu, K. (1995). Texture analysis: Representation and matching. In: Braccini, C., DeFloriani, L., Vernazza, G. (eds) Image Analysis and Processing. ICIAP 1995. Lecture Notes in Computer Science, vol 974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60298-4_229
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DOI: https://doi.org/10.1007/3-540-60298-4_229
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