Commenced in January 2007
Paper Count: 32220
Statistical Texture Analysis
Authors: G. N. Srinivasan, G. Shobha
Abstract:This paper presents an overview of the methodologies and algorithms for statistical texture analysis of 2D images. Methods for digital-image texture analysis are reviewed based on available literature and research work either carried out or supervised by the authors.
Keywords: Image Texture, Texture Analysis, Statistical Approaches, Structural approaches, spectral approaches, Morphological approaches, Fractals, Fourier Transforms, Gabor Filters, Wavelet transforms.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.3607779Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 658
 J Sklansky, image segmentation and feature extraction, IEEE transaction on systems, Man and Cybernetics, 8(4):237-247, 1978
 A.Rosenfeld, Editor, Digital Picture Analysis, Springer Verlag, Berlin 1976
 Ojala, T. and M Pietikäinen: Texture Classification. Machine Vision and Media Processing Unit, University of Oulu, Finland. Available at http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/OJALA1/ texclas.htm. January, 2004
 Haralick, R.M., Watson, L.: A facet model for image data. Comput. Vision Graphics Image Process 15, 113–129, 1981
 L.S Davis and A.Mitiche: Edge Detection in textures, Computer Graphics and image processing, 12:25-39, 1980
 R.Sutton and E.Hall Texture measures for automatic classification of pulmonary diseases, IEEE Transactions on computers, C-21(1):667-678, 1972
 F Tomita and S Tsuji, Computer Analysis of visual textures, Kluwer, Norwell, M.A, 1990
 Z Fan. Edge-based hierarchical algorithm for textured image segmentation. In International conference on acoustics, speech and signal processing, Glasgow, Scotland, Pages 1679-1682, IEEE, Picastaway, NJ.1989
 P W Fung, G Grebbin, and Y.Attikiouzel, Contextual classification and segmentation of textured images. In proceedings of the 1990 International conference on acoustics, speech and signal processing – ISASSP 90, Albuquerque, NM, Pages 2329-2332, IEEE Piscataway, NJ, 1990
 A Gisolfi, S Vitulano, and A Cacace, Texture and Structure. In V.Cappelini and R Marconi, editors, Advances in Image Processing and Pattern Recognition, Pages 179-183, North Holland, Amsterdam, 1986
 Laws. K.. Rapid texture identification. In SPIE Vol. 238 Image Processing for Missile Guidance, pages 376-380, 1980
 A P Pentland, Fractal Based Description of Natural Scenes, IEEE transaction on Pattern Analysis and Machine Intelligence, 6:661-674, 1984
 B. Mandelbrot. The Fractal Geometry of Nature. Freeman Co., San Francisco, 1982.
 K Deguchi and I Morishita, Texture Characteristics and Texture Based Partitioning using two dimensional linear estimation, IEEE Transaction on Computers, 27:739-745, 1978
 W K Pratt and O C Faugeras, Development and Evaluation of Stochastic based visual texture features, IEEE Transactions on Systems, Man and Cybernetics, 8:796-804,1978
 A. Rosenfeld and J. Weszka, “Picture Recognition” in Digital Pattern Recognition, K. Fu (Ed.), Springer-Verlag, 135-166, 1980.
 Daugman, J.G., “Two-dimensional spectral analysis of cortical receptive field profiles,”
 J. Daugman, “Uncertainty Relation for Resolution in Space, Spatial Frequency and Orientation Optimised by Two-Dimensional Visual Cortical Filters”, Journal of the Optical Society of America, 2, 1160- 1169, 1985.
 Super, B. J. and A. C. Bovik, “Localized Measurement of Image Fractal Dimension Using Gabor Filters,” Journal of Visual Communication and Image Representation, 2, pp. 114-128, 1991Vision Research, 20, pp. 847-856, 1980.
 S G Mallat, Abtheory of multiresolution signal decomposition: The wavelet representation. IEEE transactions on pattern analysis and Machine intelligence. 11:674-693, 1989
 A. Laine and J. Fan, “Texture Classification by Wavelet Packet Signatures”, IEEE Trans.Pattern Analysis and Machine Intelligence, 15, 11, 1993, 1186-1191.
 C. Lu, P. Chung and C. Chen, “Unsupervised Texture Segmentation via Wavelet Transform”, Pattern Recognition, 30, 5, 729-742, 1997.