姚斌, 何立风, 康世英, 赵晓, 巢宇燕. 一种快速二值图像欧拉数算法[J]. 微电子学与计算机, 2017, 34(7): 46-50.
引用本文: 姚斌, 何立风, 康世英, 赵晓, 巢宇燕. 一种快速二值图像欧拉数算法[J]. 微电子学与计算机, 2017, 34(7): 46-50.
YAO Bin, HE Li-feng, KANG Shi-ying, ZHAO Xiao, CHAO Yu-yan. A Fast Algorithm for Computing the Euler Number in a Binary Image[J]. Microelectronics & Computer, 2017, 34(7): 46-50.
Citation: YAO Bin, HE Li-feng, KANG Shi-ying, ZHAO Xiao, CHAO Yu-yan. A Fast Algorithm for Computing the Euler Number in a Binary Image[J]. Microelectronics & Computer, 2017, 34(7): 46-50.

一种快速二值图像欧拉数算法

A Fast Algorithm for Computing the Euler Number in a Binary Image

  • 摘要: 欧拉数是二值图像的重要拓扑属性之一.针对现有二值图像欧拉数算法中存在的像素重复检查问题, 提出了一种新的基于四方格计数方法的二值图像欧拉数算法, 定义了四方格的四种不同状态, 通过四方格之间的状态转换尽可能避免了像素重复检查, 同时利用数量较少的四方格实现二值图像欧拉数的计算以提高算法效率.在不同类型图像上的实验结果表明, 该算法在大多数情况下都要优于其他现有的欧拉数算法.

     

    Abstract: The Euler number is one of the most important topological properties in a binary image. Aiming at the problem on repeated checking of pixels in the conventional computing algorithms, a new algorithm was proposed for computing the Euler number based on counting bit-quads in the given image. In the proposed algorithm, four states are constructed and taking advantage of transitions among the states, pixels can be avoided to check repeatedly. Furthermore, fewer bit-quad patterns were used in the proposed algorithm in order to improve the efficiency of the algorithm. Experimental results on various kinds of images demonstrated that the proposed algorithm is more efficient than conventional Euler number computing algorithms in most cases.

     

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