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In this paper, a virtual system for automatic detection of fabric defects is introduced and the performance of the system is investigated experimentally from a software-oriented point of view . Major discussions on this software system are focused on how the observed noisy data can be made clear without degradation of resolution power of the image and on how several kinds of fabric defects can be detected from the noisy background. Following results are obtained experimentally: (1) Resolution power of the input data below the nominal fineness of a fabric sample(cotton) still provides approximately sufficient information of defects. (2) As a preprocessing of the fabric image data, projection procedure has efficient and appropriate properties in order to reduce background noise. (3) Combining the projection procedure with thresholding procedure in this system 'almost all kinds of defects can be detected automatically with a little misjudgement.
Hiroyasu Koshimizu (Wed,) studied this question.