Abstract
In this paper we present a new approach to the problem of textile surface quality evaluation. The approach is based on the capture and analysis of the profile of protrusions. The specific methods of image processing for protrusion detection and parameterization have been elaborated. New algorithms for the grading of four types of fabric defect — pilling, fuzziness, snagging, and hairiness — have been suggested, realized, and tested. The testing results have demonstrated a high level of coincidence between the obtained grades of all types of defect with expert grades.
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