基于快速模板匹配的机械零件排序方法

Yi-fan Wang, Haodong Chen, Kangren Zhao, Ping Zhao
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引用次数: 3

摘要

提出了一种基于快速模板匹配的零件排序方法。该方法通过改进模板匹配方法,加快了零件识别的速度。从而提高了基于机器视觉的零件分拣系统的效率,并且在零件种类繁多的情况下效果突出。首先,对目标部位的图像进行预处理,将其分割成只包含一个部位的多个子图像;然后,定义形状特征向量和相似度度量函数,将目标零件子图像与模板零件图像进行匹配;最后对目标零件进行定位,并规划排序路径。MATLAB仿真实验结果表明,本文提出的方法不仅具有较高的精度和稳定性,而且满足了快速的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Mechanical Part Sorting Method Based on Fast Template Matching
In this paper, a method of part sorting based on fast template matching is proposed. This method accelerates the process of part recognition by improving the template matching method. Thus, the efficiency of the part sorting system based on machine vision is improved, and the effect is outstanding in the case of a wide variety of parts. First, the image of target parts is preprocessed and segmented into multiple sub images containing only one part. Then, a shape feature vector and a similarity measure function are defined to match the target part sub images with the template part images. Finally, the target parts are located and the path of the sorting is planned. The result of simulation experiment in MATLAB shows that the method proposed in this paper not only has high accuracy and stability, but also meets the requirements of rapidity.
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