An improvement on the Euler number computing algorithm used in MATLAB

Bin Yao, Hua Wu, Yun Yang, Y. Chao, Lifeng He
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引用次数: 2

Abstract

Computation of the Euler number of a binary image is often necessary in image matching, image database retrieval, image analysis, pattern recognition, and computer vision. This paper proposes an improvement on the Euler number computing algorithm used in the famous image processing tool MATLAB. By use of the information obtained during processing the previous pixel, the number of times of checking the neighbor pixels for processing a pixel decrease from 4 to 2. Our method is very simple in principle, and easily implemented. The experimental results demonstrated that our method outperforms significantly conventional Euler number computing algorithms.
在MATLAB中对欧拉数计算算法的改进
在图像匹配、图像数据库检索、图像分析、模式识别和计算机视觉中,通常需要计算二值图像的欧拉数。本文对著名图像处理工具MATLAB中使用的欧拉数计算算法进行了改进。利用处理前一像素时获得的信息,检查处理像素的相邻像素的次数从4次减少到2次。我们的方法在原理上非常简单,易于实现。实验结果表明,该方法明显优于传统的欧拉数计算算法。
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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