An intelligent model for detecting and classifying color-textured fabric defects using genetic algorithms and the Elman neural network

摘要

In this paper, an intelligent color-textured fabric defect detection and classification model using genetic algorithms andnthe Elman neural network is introduced. A color ring projection is used for image processing, and the solution fornoptimization of parameters is based on the genetic algorithm method. The new modified Elman network is proposed tonclassify the type of fabric defects, which have proportional, integral, and derivative properties. The proposed inspectingnmodel in this study is more feasible and applicable in fabric and stitching garment defect detection and classification.