Abstract
A method of image analysis is proposed for detection of local defects in materials with periodic regular texture. A general improvement and enlargement of vision system capabilities for versatility, full automa- tism, computational efficiency, and robustness in their application to the industrial inspection of periodic textured materials is pursued. In the pro- posed method, a multiscale and multiorientation Gabor filter scheme that imitates the early human vision process is applied to the sample under inspection. The designed algorithm automatically segments defects from the regular texture. A variety of examples of fabric inspection are pre- sented. In all of them defects are successfully segmented from the tex- ture background. © 1998 Society of Photo-Optical Instrumentation Engineers. (S0091-3286(98)01408-1)
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