关键词: 机器视觉, 图像处理, 轴承防尘盖, 表面缺陷, 自动检测

Abstract: To realize the automatic detection of bearing shield surface, this paper proposes a method based on machine vision. It uses the blue coaxial light to overcome the metal reflection; it uses the least squares method to fit the bearing outer circle. According to the bearing type, it segments the bearing. Using Otsu’s method and Roberts edge extraction it processes the shield image. It calculates the points when value is 1 per 2°. Compared with the template data, it obtains the phase angle, then separates the character region and no-character region; there is no interference when the two parts defect is detected. Experiments show that: the captured image is unambiguous and the correct rate of detection algorithm is more than 96%. It can realize the automatic detection of bearing shield surface.

Key words: machine vision, image processing, bearing shield, surface defect, automatic detection