Statistical Texture Analysis

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.




References:
[1] J Sklansky, image segmentation and feature extraction, IEEE transaction
on systems, Man and Cybernetics, 8(4):237-247, 1978
[2] A.Rosenfeld, Editor, Digital Picture Analysis, Springer Verlag, Berlin
1976
[3] 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
[4] Haralick, R.M., Watson, L.: A facet model for image data. Comput. Vision
Graphics Image Process 15, 113–129, 1981
[5] L.S Davis and A.Mitiche: Edge Detection in textures, Computer Graphics
and image processing, 12:25-39, 1980
[6] R.Sutton and E.Hall Texture measures for automatic classification of
pulmonary diseases, IEEE Transactions on computers, C-21(1):667-678,
1972
[7] F Tomita and S Tsuji, Computer Analysis of visual textures, Kluwer,
Norwell, M.A, 1990
[8] 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
[9] 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
[10] 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
[11] Laws. K.. Rapid texture identification. In SPIE Vol. 238 Image
Processing for Missile Guidance, pages 376-380, 1980
[12] A P Pentland, Fractal Based Description of Natural Scenes, IEEE
transaction on Pattern Analysis and Machine Intelligence, 6:661-674,
1984
[13] B. Mandelbrot. The Fractal Geometry of Nature. Freeman Co., San
Francisco, 1982.
[14] K Deguchi and I Morishita, Texture Characteristics and Texture Based
Partitioning using two dimensional linear estimation, IEEE Transaction
on Computers, 27:739-745, 1978
[15] 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
[16] A. Rosenfeld and J. Weszka, “Picture Recognition” in Digital Pattern
Recognition, K. Fu (Ed.), Springer-Verlag, 135-166, 1980. [17]
Daugman, J.G., “Two-dimensional spectral analysis of cortical receptive
field profiles,”
[17] 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.
[18] 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.
[19] S G Mallat, Abtheory of multiresolution signal decomposition: The
wavelet representation. IEEE transactions on pattern analysis and
Machine intelligence. 11:674-693, 1989
[20] A. Laine and J. Fan, “Texture Classification by Wavelet Packet
Signatures”, IEEE Trans.Pattern Analysis and Machine Intelligence, 15,
11, 1993, 1186-1191.
[21] C. Lu, P. Chung and C. Chen, “Unsupervised Texture Segmentation via
Wavelet Transform”, Pattern Recognition, 30, 5, 729-742, 1997.