Abstract
In this study a new set of texture measures, namely, Clique Length and its moments are introduced. These measures are defined employing new concepts which agrees with the human visual system. The simulation experiments are performed on binary and gray level MRF texture alphabet to quantify the data by the kth moment of Clique Length. Experimental results indicate that the introduced measures identify the visually similar textures much better than the mathematical distance measures.
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Derin and H. Elliott, “Modelling and segmentation of noisy and textured images using Gibbs random fields”, IEEE Trans. Pat. Anal. Mach. Intel., vol. PAM1-9, pp. 39–55, 1987.
S.Lakshamanan and H. Derin, “Simultaneous parameter estimation and segmentation of Gibbs random fields simulated annealing”, IEEE Trans. Pat. Anal. Mach. Intel., vol. 11., pp. 799–813, 1989.
S. Cohen and D. B. Cooper, “Simple parallel hierarchical and relaxation algorithms for segmenting noncausal Markovian random fields”, IEEE Trans. Pat. Anal. Mach. Intel., vol. PANE-9, pp. 195–219, 1987.
Derin, “The use of Gibbs distributions in image processing”, in Communications and Networks: A Survey of Recent Advances, I. Blake and V. Poor, Eds. New York: Springer-Verlag, 1985.
A. Carkacioglu and F.T. Yarman-Vural, “Set of Texture Similarity Measures”, Electronic Imaging 97, Machine Vision Applications in Industrial Inspection, SPIE Proceedings Vol 3029, pp76–84 San Jose, 1997.
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Çarkacioĝlu, A., Yarman-Vural, F.T. (1997). Similarity measures for binary and gray level Markov Random Field textures. In: Del Bimbo, A. (eds) Image Analysis and Processing. ICIAP 1997. Lecture Notes in Computer Science, vol 1310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63507-6_193
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DOI: https://doi.org/10.1007/3-540-63507-6_193
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