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Binary Image Processing for Computation of Connected Components, Image Holes and Euler Number Using Graph Theory

机译:使用图论计算连接组件,图像孔和欧拉数的二进制图像处理

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This paper focuses on binary image processing for the computation of Euler number along with connected components and holes in the image. The proposed algorithm incorporates two different fields of computer science: image processing and graph theory which makes it unique and very efficient. This algorithm transforms the binary image into a planer graph by considering image pixels as graph vertices and then applies the graph theory principles. Experimental results corroborate that the performance of the proposed algorithm remarkably surpass all the standard Euler number computing algorithms.
机译:本文侧重于二进制图像处理,用于计算欧拉数以及图像中的连接组件和孔。该算法包含两个不同的计算机科学领域:图像处理和图形理论,使其成为独特而且非常有效。该算法通过将图像像素视为图形顶点,然后应用图形理论原理来将二进制图像转换为平面图。实验结果证实了所提出的算法的性能显着超越所有标准欧拉数计算算法。

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