Automatic fabric inspection by machine-vision: applying simple algorithms

Paulo J. Sequeira Goncalves; Hugo Furtado; Jose Morato; Marco Goncalves

doi:10.1117/12.460199

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8 March 2002 Automatic fabric inspection by machine-vision: applying simple algorithms

Paulo J. Sequeira Goncalves, Hugo Furtado, Jose Morato, Marco Goncalves

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Proceedings Volume 4664, Machine Vision Applications in Industrial Inspection X; (2002) https://doi.org/10.1117/12.460199
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

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.

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Paulo J. Sequeira Goncalves, Hugo Furtado, Jose Morato, and Marco Goncalves "Automatic fabric inspection by machine-vision: applying simple algorithms", Proc. SPIE 4664, Machine Vision Applications in Industrial Inspection X, (8 March 2002); https://doi.org/10.1117/12.460199

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