基于独立部件分析和阶段,适合为检测被建议的一个新奇方法在纺织品织物图象背叛。由独立部件,我们能获得纺织品没有织物的图象的结构的特征。由阶段适合,结构信息被减少,它能把缺点区域与没有缺点的区域区分开来。最后,我们从被阀值步获得的二进制图象有检测结果。与另外的算法相比,建议方法不仅与高察觉率有坚韧性,而且检测缺点的各种各样的类型相当好。
A novel method based on independent component analysis and phase congruency is proposed for detecting defects in textile fabric images. By independent component, we can obtain textile structural features of fabric-free images. By phase congru- ency, structure information is reduced, which can distinguish the defect region from the defect-free regions. Finally, we have the detecting result from binary image which is obtained by a thresh- old step, Compared with other algorithms, the proposed method not only has robustness with high detection rate, but also detects various types of defects quite well.