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Research of contour extraction algorithm based on gray scale difference and polarity change

机译:基于灰度差和极性变化的轮廓提取算法研究

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In order to solve the problem of low precision of template extraction using template matching, this paper proposes a method of gray scale difference and polarity based on template matching. Firstly, the shape of the template matching algorithm is used to match the captured image, and the approximate location of the target contour is obtained. Then, the target contour is re fitted by means of gray scale difference and polarity change to extract the contour of the target accurately. The HALCON simulation comparison shows that the proposed algorithm is superior to the template matching, it provides a powerful basis for the contour extraction algorithm. In addition, the algorithm can be applied to the fast and accurate extraction of contour lines for any object.
机译:为了解决模板匹配的模板提取精度低的问题,提出了一种基于模板匹配的灰度差和极性的方法。首先,模板匹配算法的形状用于匹配捕获的图像,并且获得目标轮廓的近似位置。然后,通过灰度差和极性改变重新安装目标轮廓,以准确地提取目标的轮廓。 Halcon仿真比较表明,所提出的算法优于模板匹配,它为轮廓提取算法提供了强大的基础。此外,该算法可以应用于任何物体的快速准确提取轮廓线。

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