Fabric Defect Detection Based on Local Entropy

Abstract:

To solve the problem of automated defect detection for textile fabrics, this paper proposed a method for fabric defect detection which is based on local entropy. The method can transform the original gray image space for the entropy space and enhance the different organization structure which is conducive to extract the damage texture region. In the experiment, divided the fabric image to the same size local window, and chosen the smallest value of local entropy window region to segment the defects. The experimental result shown that this method can avoid the whole image complex operations and possess high recognition accuracy.

• Periodical: Advanced Materials Research (Volumes 562-564)
• Pages: 1998-2001
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.562-564.1998
• Online since: August 2012
• Authors: Peng Fei Li, Huan Huan Zhang, Jun Feng Jing, Jing Wang
• Keywords: Defect Detection, Local Entropy, Thresholding

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