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基于Gabor滤波器的布匹瑕疵自动检测方法 被引量:13

Gabor Filter-Based Automatic Textile Defect Detection
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摘要 给出一种基于多通道Gabor滤波技术实现高速实时布匹瑕疵检测方法.在多分辨率和多方向上分别对图像进行Gabor滤波,建立金字塔图像表示结构,并对滤波后的多幅图像进行融合与重建,把瑕疵区域从布匹背景中提取出来,从而实现对布匹瑕疵的实时检测.实验表明,这种方法的检测准确率可达到95%,而且具有计算量小、稳定性好等优点. Present a multichannel Gabor filter scheme for textile defect detection. A textile image is processed using the Gaborfilters in a multiscale and multioriention mode, forming multiimages. Images are reconstructed into one image for defect detection. Experimental results show that the algorithm is robust and is computationally efficient. The overall detection rate reaches 95%.
出处 《北京理工大学学报》 EI CAS CSCD 北大核心 2002年第6期718-721,共4页 Transactions of Beijing Institute of Technology
基金 中国纺织品进出口总公司资助项目(HK0109-05)
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参考文献8

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