Gabor小波变换在帘子布疵点检测中的应用  

Application of Cord Fabric Defect Detection Based on Gabor Wavelet Transform

作　　者：张五一[1] 赵强松[1] 耿世勇[1] 

机构地区：[1]中原工学院电子信息学院,河南郑州450007

出　　处：《计算技术与自动化》2008年第2期93-95,共3页Computing Technology and Automation

基　　金：河南省科技攻关项目(0721002210032)

摘　　要：给出一种基于多通道Gabor滤波器技术实现高速实时帘子布疵点检测方法。在多尺度多方向上分别对具有规则纹理结构的织物图像进行Gabor滤波,并对滤波后的多幅子图像进行融合分割处理,将疵点从织物背景中分割出来,从而实现对织物疵点的实时检测。该方法用于帘子布的缺陷检测,具有识别能力强,实时性好等优点。可以用于检测有规则纹理结构的表面及物体。This paper proposes a multichannel Gabor filter scheme for cord fabric defect detection. A textile image with regular peridic texture is procesed using the Gabor - filters in a multi - scale and multi - oriention mode, forming multi - images. Sub - images filtered are fused in order to reconstruct the defect binary image that segments the defects from the texture background, The proposed method is used to detect the faults of cord fabrics. The algorithm is characterd by strong capability of recognition and high testing speed. This can also be applied to detect defects on surfaces and materials that have regular periodic texture.

关 键 词：GABOR小波变换 帘子布 图像融合 疵点分割 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]