Design Automatic Fabric Defect Inspection System

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Abstract:

The system with four pieces of DSP + FPGA and procesing the digital image information collected with the field reprogrammable array FPGA has been designed, it can realize the automatic detection for the fabric defect. The system make use of four pieces of TMS320C62x as the core to process the digital image information; The FPGA realizes the automatic detection system which controls the interconnect fabric defect. The program based on attributed relational histogram and support vector machin has been designed. The experiment show when the velocity of sample fabric is of 100m/s and 120m/s the rate of recognize nicely with which theautomatic fabric defect inspection system being provided can achieve 80% and 60%.

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Periodical:

Advanced Materials Research (Volumes 490-495)

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1109-1113

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Online since:

March 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] R. Meier: Aquality revolution of fabric detection field [J]. Foreign textile technology, (2000), 178 (1), pp.23-25.

Google Scholar

[2] Minyuan Wu: ADSP series digital signal processor principle [M]. Beijing: Publishing House of electronics industry, (2002), pp.20-150.

Google Scholar

[3] Minglin Yang and Xiaofei Zhang: FPGA control realization of video image acquisition image system[J]. Computer Measurement & control, (2003), 11 (6), pp.451-454.

Google Scholar

[4] Min Hu and Yihong Ding: Based on attribute relational histogram linear texture image retrieval[J]. Journal of computer-aided design & computer graphics, (2003), 15 (1), pp.48-52.

Google Scholar

[5] Xiaoding Gao, Chenglong Wang, Zuo he and Jichao Liang: Based on histogram fabric defect detection algorithm [J]. Journal of textile research, (2005), 26 (2), pp.121-23.

Google Scholar

[6] Xiaoding Gao, Bin Gao and Zuo he: Based on support vector machine for fabric defect detection algorithm [J]. Journal of textile research, (2006), 27 (5), pp.26-28.

Google Scholar