电子科技大学学报Issue(2)：283-288,6.DOI:10.3969/j.issn.1001-0548.2015.02.021
基于小波模极大值的磁瓦裂纹缺陷边缘检测算法
Edge Detection Algorithm of Magnetic Tile Crack Based on Wavelet Modulus Maxima
摘要
Abstract
In order to accurately extract edge information of magnetic tile surface defect, an edge detection algorithm based on image weighted information entropy and wavelet modulus maxima is proposed. Because the magnetic tile surface with low contrast and textured background has a negative influence on edge extraction, a new BHPF filter with adaptive changing cutoff frequency is designed. The clarity and complexity of textured background are quantitatively described by weighted information entropy of image gradient variance. The filter changes its parameter through matching the non-linear relationship between information entropy and cutoff frequency. To prevent the losing of edge information, the best decomposition scale is obtained by the level determination function. In order to ensure the edge continuity and veracity, wavelet modulus maxima is judged through a double threshold to get the edge point. Experimental results show that the algorithm outperforms the conventional canny and sobel algorithms in detection of magnetic tile crack edge. This edge detection algorithm can also detect other defects.关键词
缺陷检测/边缘检测/磁瓦/纹理处理/小波变换Key words
defect detection/edge detection/magnetic tile/textures processing/wavelet transform分类
信息技术与安全科学引用本文复制引用
林丽君,殷鹰,何明格,尹湘云..基于小波模极大值的磁瓦裂纹缺陷边缘检测算法[J].电子科技大学学报,2015,(2):283-288,6.基金项目
国家自然科学青年基金(51205265)；四川省科技支撑计划(2011CGZ0049) （51205265）
