A novel logarithmic edge detection algorithm

M. Alipoor, Z. Ebrahimi, J. Haddadnia
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引用次数: 10

Abstract

In this paper a novel logarithmic edge detection algorithm is presented. The algorithm is an extended and modified version of PLIP Sobel edge detection algorithm. Six new kernels are suggested to achieve a higher level of independence from scene illumination and provide obvious distinction between edge and non-edge pixels. We present experimental results for this method, and compare results of the algorithm against several leading edge detection methods such as Sobel, Canny and conventional logarithmic edge detection. To compare results objectively, we computed edginess judging index (EJI) for edge detection algorithms. The proposed technique is effective, as demonstrated by computer simulations, conceptually straight forward, and easy to use.
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一种新的对数边缘检测算法
本文提出了一种新的对数边缘检测算法。该算法是对PLIP Sobel边缘检测算法的扩展和改进。提出了六个新的核,以实现更高程度的独立于场景照明,并提供边缘和非边缘像素之间的明显区别。我们给出了该方法的实验结果,并将该算法与几种前沿边缘检测方法(如Sobel、Canny和传统对数边缘检测)的结果进行了比较。为了客观地比较结果,我们计算了边缘检测算法的边缘判断指数(EJI)。计算机模拟表明,所提出的技术是有效的,概念上直接,易于使用。
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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