Bogazici University Pattern Analysis and Machine Vision Laboratory

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DEFECT INSPECTION OF TEXTILE PRODUCTS

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Quality inspection of textile products is an important problem for fabric manufacturers. Currently, the quality control operation is mostly done by human operators. The operator examines the fabric while it passes over a light table with a speed of 8-20 m/min. When the operator notices a defect, he stops the motor that moves the fabric, records the defect and the location of it on the fabric and then starts the motor again. When all of the fabric is controlled the number of defects per meter length of the fabric is calculated and the fabric is classified. During the control, if the operator notices an extraordinary defect rate or repeating defects, he warns the production department so that measures can be taken to decrease the defect rate. For large and obvious defects the control results may be reliable, however, the operator inevitably misses small defects and sometimes large ones also. Generally the width of the fabric is about 1.60 - 2.00 meters. It is difficult for a human eye to keep up with an object of that width moving at a speed of 10 m/min.

Texture Analysis methods like Markov Random Field modeling, Karhunen-Loeve Transforms, 2-D Lattice Filters, Laws Filters, Cooccurrence Matrices are studied for the solution of this problem.
The results have been implemented on a DSP system with 13 TMS320C40 parallel processors.


Examples of defective textile fabrics

Funding: TTGV-169, Altinyildiz, DPT 95K120320
Project Team: Birkan Aras, Alper Atalay, Alper Baykut, Aytül Ercil, Aysin Ertuzun, Rusen Meylani, Serhat Ozdemir
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Last modified: 04-04-2001