Suitability Analysis of Techniques for Flaw Detection in Textiles using Texture Analysis

摘要

This paper addresses issues concerning image analysis algorithms for visual quality inspection of textile fabrics. An overview of a number of flaw detection techniques and analysis of their suitability for detecting the presence of weaving defects is presented. The flaw detection algorithms are based on a local analysis of spatial and spatial-frequency domain features, exploring both the statistical and structural texture analysis of the defective image samples. The algorithms are compared using two criteria: accuracy and computational efficiency.