Fabric defects detecting and rank scoring based on Fisher criterion discrimination

• Published in: 2009 International Conference on Machine Learning and Cybernetics Vol. 5; pp. 2560 - 2563
• Main Authors: Sheng-Wang Li, Li-Wei Guo, Chun-Hua Li
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2009
• Subjects: Application software; Auto correlation function; Autocorrelation; Computer applications; Fabric defect detection; Fabric defect rating; Fabrics; Fisher criterion discrimination; Image processing; Image segmentation; Inspection; Pattern recognition; Pixel; Surface texture; Textiles

Automatic texture defect detection is highly important for many fields of visual inspection. This paper studies the application of advanced computer image processing techniques for solving the problem of automated defect detection for textile fabrics. The approach is used for the quality inspection...