Surface Roughness Measure Based on Average Texture Cycle
this paper presents a testing method of surface roughness for the surface with straight features using image processing. This approach extracts the average texture cycle to describe the surface roughness of mechanical accessory. After surface images of the standard blocks with different roughness levels are collected, the feature value of the average texture cycle which is processed by Matlab software is saved into the texture database. The same method is used to get the feature value of average texture cycle for the surface image of unknown roughness level. Then the surface roughness value of mechanical accessory is gotten by comparing with the feature values of the average texture cycle in the texture database, according to the nearest rule. This method promises higher identification accuracy and lower light source requirement. More so, it can be used effectively when the surface of mechanical accessory has parts of defects.
image processing average texture cycle surface roughness measure binary generalization
Zhang Jian Zhou Jin
College of Mechanical and Electronic Engineering Nanjing University of Aeronautics and Astronautics Nanjing,China
国际会议
南京
英文
637-641
2010-08-26（万方平台首次上网日期，不代表论文的发表时间）