Research about the Cord Fabric Defect Recognition Based on the Local Phase Quantization and the Principal Component Analysis
ZHAO Pengxi
Abstract：In this paper, the method based on the Local Phase Quantization are presented to recognize the de?fects of the cord fabric. First of all, A new kind of the Local Phase Quantization is constructed, and its implemen?tation is given. Then, the Local Phase Quantization of the cord sample images are calculate, the BP neural net?work is trained by these moments. At last, it is used trained BP neural network to implement the cord fabric ’s de?fect identification. Experiment results show that the method accurately identifies defects such as broke end, lump, split slot, broken warp and warp adhesion.
Keywords：the local phase quantizationthe principal component analysisfabric defect recognitionneural net-work
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 38-40 )