A Vision Detection System for Odd-Form Components

Kaifu Zhang, Yihui Li, Y. Guan, Li He, Yuxi Gan, Zhenjiang Dong
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引用次数: 1

Abstract

This paper presents a locating method that combines traditional threshold segmentation, feature information extraction and edge contour fitting to detect and locate odd-form components and PCB holes. Feature extraction, instead of a template matching algorithm, is used to improve the robustness of recognition in this method. The deviation in the edge unsmoothness caused by the initial edge contour is solved using an edge contour fitting technique. Finally, experiments are designed and performed to verify the precision of the odd-form components, and the PCB holes detection and correction system.
奇形部件的视觉检测系统
本文提出了一种将传统的阈值分割、特征信息提取和边缘轮廓拟合相结合的定位方法来检测和定位奇形元件和PCB孔。该方法采用特征提取代替模板匹配算法来提高识别的鲁棒性。利用边缘轮廓拟合技术解决了由初始边缘轮廓引起的边缘不平滑偏差。最后,设计并进行了实验,验证了奇形元件和PCB孔检测与校正系统的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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