Surface Roughness Measurement Based on Image Comparison
To solve the measure of the inner walls surface roughness of slender hole and slit, a comparative measure method was proposed on the basis of extracting the surface image feature of parts and standard blocks by utilizing image processing. The surface image features were analyzed, and the surface image could be classified into two kinds, one had significant texture features and the other had no texture features. Taken texture feature as the template the surface images with significant texture features were classified according to the maximum degree of fuzzy classification. The images with no significant texture features could be expressed by pixel features. Compared the template with part surface to be measured by template matching method, the surface roughness of parts could be obtained by utilizing the maximal correlation coefficient. The results show that this image comparison measure method is convenient and fast, and it can measure the surface roughness of parts reasonably well.
Surface roughness Image comparison Fuzzy classification Template matching
DONG Zhi-guo DENG Yong -jun LI Yuan-zong
College of Mechanical Engineering Taiyuan Univercity of Technology Taiyuan, China
国际会议
长春
英文
361-364
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）