A New Based Image Subtraction Algorithm for Bare PCB Defect Detection

Daniel Katz Bonello, Y. Iano, U. B. Neto
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引用次数: 3

Abstract

Various concentrated work has been developed in the area of computer vision applied to detection of failures on printed circuit boards (PCB’s), aiming at reducing the possibility of the occurrence of the fabrication defects. In this research, based on PCI’s – without mounting reference and test layout models, the objective is to study is the application of an image subtraction technique to the failure detection of those bare printed circuit boards layouts using image subtraction techniques during the image processing. By developing the primary subtraction algorithm, one may compare the efficacy of this image processing technique using linear simulations developed in MATLAB.
基于图像减法的裸PCB缺陷检测新算法
计算机视觉在印刷电路板故障检测中的应用研究,旨在降低制造缺陷发生的可能性。本研究基于PCI的无安装参考和测试布局模型,研究图像减法技术在图像处理过程中对裸印刷电路板布局进行故障检测的应用。通过开发主减法算法,可以使用MATLAB中开发的线性仿真来比较这种图像处理技术的有效性。
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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