计算机与现代化Issue(3)：172-174,3.DOI:10.3969/j.issn.1006-2475.2013.03.044
金属裂纹图像锐化混合算法研究
Research on Sharpening Hybrid Algorithm of Metal Crack Images
摘要
Abstract
Cracks on the surface of metal are one of important indexes for judging metal materials. It is very important of researching in image sharpening because of noise jamming and inaccuracy while processing images. In this dissertation, attention is especially focused on several common sharpening operators, respectively on the processing of metal crack images. Several image processing effects of sharpening operators are deeply analyzed and an effective hybrid algorithm is put forward after analyzing a large number of simulation experiments. Not only the influence of the noise jamming is weakened, but also the edge characteristic of image is highlighted. Therefore, the hybrid algorithm shows favorable application value and potential prospect.关键词
金属裂纹/灰度图像/图像锐化/混合算法Key words
metal crack/ gray image/ image sharpening/ hybrid algorithm分类
信息技术与安全科学引用本文复制引用
张利民,石成英,王游..金属裂纹图像锐化混合算法研究[J].计算机与现代化,2013,(3):172-174,3.
