Research on Surface Defect Detection Technique of Rolling Element Based on Computer Vision

Abstract

This paper proposed a new method of surface defect detection of rolling element based on computer vision, which adopted CCD digital camera as image sensor, and used digital image processing techniques to defect the surface defects of rolling element. The main steps include collect image, use an improved median filter to reduce the noise, increase or decrease the exposure to achieve the image enhancement, create a binary image with threshold method and detect the edge of the image, and use subtraction method for surface defects identification. The experiment indicates that the above methods the advantages of simple, the capability of noise resistance, high speed processing and better real-time.

Investigation of an Inline Inspection Method for the Examination of Cylinder-like Specular Surfaces Using Deflectometry

“…Since ultrasonic can penetrate into a test specimen, these methods are not limited to pure surface inspection, but also consider defects, such as air pockets in the material. Specifically for the inspection of rolling element surfaces, methods [18,19] can be found in the literature which are limited to two-dimensional surface inspection. Non-destructive optical methods that do not specifically relate to the inspection of rolling elements are also presented.…”