An Efficient Method of PCB Images Stitching

Min Qi, Yingbo Wang, Yuelei Xu, Zhuang Li
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引用次数: 1

Abstract

In solder paste inspection, since the camera' field of view is small relative to the size of PCB, it is necessary to stitch the partial PCB images taken in different parts. Stitching PCB images requires real-time processing, while common existing methods are not satisfactory, so this paper proposes a novel method to further speed up image stitching. This study contributes in three ways: First, a 4-step improved method used for corner detection is introduced, which builds on the well-known FAST corner detection method. Second, the nearest and next nearest neighbor ratio method, bidirectional matching method and RANSAC are adopted to reduce the possibility of mismatching and optimize the performance of the corner matching. Third, several corner detection methods are compared. Performances in terms of quantitative and qualitative results are discussed so as to move towards the selection of the most appropriate method. The experiments demonstrate that the improved image stitching method outperforms other methods both in efficiency and accuracy.
一种高效的PCB图像拼接方法
在锡膏检测中,由于相机的视场相对于PCB的尺寸较小,因此需要将不同部位拍摄的部分PCB图像进行缝合。PCB图像拼接需要实时处理,现有的常用拼接方法不能满足要求,因此本文提出了一种新的方法来进一步加快图像拼接速度。本研究在三个方面做出了贡献:首先,在FAST角点检测方法的基础上,提出了一种改进的4步角点检测方法。其次,采用最近邻和次近邻比值法、双向匹配法和RANSAC算法,减少角点匹配不匹配的可能性,优化角点匹配的性能;第三,对几种角点检测方法进行了比较。讨论了定量和定性结果方面的性能,以便选择最合适的方法。实验表明,改进后的图像拼接方法在效率和精度上都优于其他方法。
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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