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Proceedings Paper

Texture operator determination by simulated annealing
Author(s): Bradley Pryor Kjell; Pearl Y. Wang
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Paper Abstract

Convolution of textured images with a set of small masks can be used to produce features for texture classification or for image segmentation. These masks are usually picked from a standard set, such as Laws' texture energy operators or the variations discussed by other researchers. In this paper we discuss using simulated annealing to determine an optimum set of masks for particular sets of textures. Initial masks are picked and iteratively improved by using simulated annealing with an appropriate energy function. The masks converge to a final set that minimizes the energy function. We show experimental results with a small set of textures. The masks produced by the method depends on the textures used, and these masks are more effective in discriminating between these textures than the standard masks.

Paper Details

Date Published: 1 March 1992
PDF: 7 pages
Proc. SPIE 1608, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods, (1 March 1992); doi: 10.1117/12.135118
Show Author Affiliations
Bradley Pryor Kjell, George Mason Univ. (United States)
Pearl Y. Wang, George Mason Univ. (United States)

Published in SPIE Proceedings Vol. 1608:
Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods
David P. Casasent, Editor(s)

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