%0 Journal Article
%T Regular Texture Defect Detection Based on Matched Gabor Filters<br>基于匹配Gabor滤波器的规则纹理缺陷检测方法
%A GONG Yu nan
%A HUA Jian xing
%A HUANG Xiu bao
%A <br>贡玉南
%A 华建兴
%J 中国图象图形学报
%D 2001
%I 
%X The surfaces of many industrial products are formed from the textural primitives by placement rules on the image field. It is an important task of automatic vision inspection to detect the defects in these regular textures. In the paper, two types of matched Gabor filters, that is normal texture matched Gabor filters and defect matched Gabor filters, are designed based on power spectrum of the regular normal texture and the abnormal texture. The normal texture matched Gabor filters, whose band pass area is positioned on the dominant frequency components of the normal texture, are designed to uplift the normal texture while suppress the defect texture. On the other hand, the defect matched Gabor filters, the band pass area of which guarantees the predominance of frequency components of the defect texture, have the effects of uplifting the defect texture while suppressing the normal texture. Taking advantage of the recent progress of study on principle of human vision, a novel adaptive filter design method is presented. Experiments on edge enhancement for defect detection using these matched Gabor filters have yielded satisfactory results, as far as both the precision and the speed are concerned.
%K Matched Gabor filter
%K Defect detection
%K Power spectral analysis
%K Regular texture<br>匹配Gabor滤波器
%K 缺陷检测
%K 功率谱分析
%K 规则纹理
%K 图象处理
%K 工业产品
%K 表面纹理
%K 纹理图象
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=82F16E524F8EB9E1&yid=14E7EF987E4155E6&vid=B31275AF3241DB2D&iid=DF92D298D3FF1E6E&sid=23F919F7BAF87909&eid=3EABEBD973E45554&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=13&reference_num=7