Abstract

In this study we examine the application of both optical–digital and all-digital techniques in textural pattern recognition and make a comparison of the two approaches. The optical–digital scheme makes use of an optical–digital computer to generate textural measurements based on the 2-D irradiance spectrum. The all-digital scheme produces measurements based on gray-tone spatial-dependence matrices. In both cases two feature extraction algorithms were employed: the Hotelling trace method and the Foley-Sammon discriminant vector analysis. Classification was accomplished using the k-nearest neighbor decision rule. The performance of these techniques was evaluated in an experiment involving the classification of four texture patterns. The results show that, for the textures chosen, both approaches give high classification accuracy with the optical–digital method performing somewhat better.

© 1980 Optical Society of America

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