基于机器视觉技术的磁砖缺陷检测研究

L. Han, Xing Huang
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引用次数: 1

摘要

磁瓦在永磁电机中起着重要的作用。其表面缺陷严重影响电机的性能。为了实现磁瓦表面的自动检测,采用了机器视觉技术,并选用Halcon作为软件。本文从缺陷的分类、视觉系统的设计和实验三个方面进行了研究。通过实验,检测成功率高,为磁瓦的自动检测提供了理论依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study on Defect Detection of Magnetic Tile Based on the Machine Vision Technology
Magnetic tile plays an important role in permanent magnet motor. Its surface defects seriously affect the performance of the motor. To realize the automatic detection of the magnetic tile surface, the technology of machine vision is adopted and Halcon is selected as the software. In this paper, the research is carried out covering the aspects of classification of the defect, the design of the visual system and the experiment. Through the experiment, the successful rate of detection is high, which provides a theoretical basis for the automatic detection of the magnetic tile.
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