Automatic Detection of Steel Ball's Surface Flaws Based on Image Processing

被引：1

作者：

于正林 ^{[1
]}

谭微 ^{[2
]}

杨东林 ^{[1
]}

曹国华 ^{[1
]}

机构：

[1] Institute of Electromechanical Engineering,Changchun University of Science and Technology

[2] School of Computer Science and Technology, Changchun University of Science and Technology

来源：

Defence Technology | 2007年 / 03期

关键词：

computer application; steel ball; surface flaw; image processing; boundary tracing;

D O I：

暂无

中图分类号：

TP391.41 [];

学科分类号：

080203 ;

摘要：

A new method to detect steel ball’s surface flaws is presented based on computer techniques of image processing and pattern recognition. The steel ball’s surface flaws is the primary factor causing bearing failure. The high efficient and precision detections for the surface flaws of steel ball can be conducted by the presented method, including spot, abrasion, burn, scratch and crack, etc. The design of main components of the detecting system is described in detail including automatic feeding mechanism, automatic spreading mechanism of steel ball’s surface, optical system of microscope, image acquisition system, image processing system. The whole automatic system is controlled by an industrial control computer, which can carry out the recognition of flaws of steel ball’s surface effectively.

引用

页码：209 / 214

页数：6