In this paper is presented a application of image processing algorithms to fabrics inspection. An experimental apparatus was developed in order to obtain good color images to be processed. After converting this images to gray levels, it is possible to obtain a binary image containing the defect, after applying threshold segmentation, statistical analysis and mathematical morphology. The automatic system needs to be trained in order to characterize the fabric using the mean and standard deviation of it's gray levels. Analysis were made with four types of defects: gap; broken thread; bulky thread; stain. To detect color variations in the fabrics, a novel approach for color segmentation is presented. Finally an application was developed using Microsoft^TM Visual C++, based on object oriented programming, to achieve automatic fabric inspection by machine-vision.

Date Published: 8 March 2002
PDF: 9 pages
Proc. SPIE 4664, Machine Vision Applications in Industrial Inspection X, (8 March 2002); doi: 10.1117/12.460199

Published in SPIE Proceedings Vol. 4664:
Machine Vision Applications in Industrial Inspection X
Martin A. Hunt, Editor(s)