Paper
1 March 1992 Texture operator determination by simulated annealing
Bradley Pryor Kjell, Pearl Y. Wang
Author Affiliations +
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bradley Pryor Kjell and Pearl Y. Wang "Texture operator determination by simulated annealing", Proc. SPIE 1608, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods, (1 March 1992); https://doi.org/10.1117/12.135118
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KEYWORDS
Convolution

Algorithms

Annealing

Image classification

Mahalanobis distance

Computer vision technology

Image segmentation

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