Subpixel edge extraction of part ant colony optimization-based and dimensional measurement

被引：57

作者：

Gong, Lixiong ^{[1
]}

Kong, Xiangsheng ^{[2
]}

Liu, Yong ^{[3
]}

Huang, Min ^{[4
]}

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

来源：

Computer Modelling and New Technologies | 2014年 / 18卷 / 05期

关键词：

Ant colony optimization - Extraction - Feature extraction - Pixels - Image enhancement;

D O I：

10.3978/j.issn.2078-6891.2014.064

中图分类号：

学科分类号：

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.

引用

页码：240 / 246