文献类型：期刊文献

英文题名：Subpixel edge extraction of part ant colony optimization-based and dimensional measurement

作者：Gong, Lixiong[1]; Kong, Xiangsheng[2]; Liu, Yong[3]; Huang, Min[4]

第一作者：Gong, Lixiong

通讯作者：Gong, Lixiong

机构：[1] School of Mechanical Engineering, Chongqing University of Technology, Chongqing, China; [2] Department of Computer and Information Engineering, Xinxiang University, Xinxiang He'nan, China; [3] School of Construction Machinery, Chang'an University, Xi'an Shanxi, China; [4] MBA Education Center, Chongqing University of Technology, Chongqing, China

第一机构：School of Mechanical Engineering, Chongqing University of Technology, Chongqing, China

年份：2014

卷号：18

期号：5

起止页码：240-246

外文期刊名：Computer Modelling and New Technologies

收录：EI(收录号：20144700214797)

语种：英文

外文关键词：Algorithms - Ant colony optimization - Artificial intelligence - Bearings (structural) - Extraction - Feature extraction - Image processing

摘要：Put forward a method combined improved ant colony and Zernike moment to detect image subpixel edge aiming at traditional ant colony algorithm's drawback of long time consumption and easily to be affected by noise. The methods improved parameters from clustering centre setting, clustering operator selecting and pheromone updating, then extracted subpixel image edge based on Zerinke moments. Therefore, the result of image edge extraction is good and effective. Lastly, least square fitting is used to locate coordination of image edge and bearing of SKF 32308 J2/Q dimensions such as inner and outer diameters were measured. The result shows that the algorithm proposed can well to measure circular parts dimensions and has high precision.