Combined fabric defects detection approach and quadtree decomposition

In this article, various approaches are investigated and synthesized for real-time inspection of diversified fabric texture. Improved Gabor filter bank was proposed to detect fabric defects by using its property of steerable directions and scales. Normal fabric textured image was processed with optimal filter and then gauss smooth. Two threshold value of the normal fabric image will be determined, which are considered as standard of image parameter for segmenting defect areas. For some intense background texture of fabric defect images, background analysis approach is proposed to detect the flaws. The third detection method is multi-scale wavelet, and typical results of the test are provided. Three approaches synthesized into a cascade detection system to develop better detection results. Inspection results that conducted on real fabric defects for various approaches reveal that combined detection scheme meet good expectation. Further, preliminary graphical user interface is designed so as to facilitate the operation. After integrate graphical user interface with procedure, parameters material can be acquired, which is vital to applying the inspection system on industrial computer in future.