Morphological edge detection by successive segmentation for thermal images

J.S.J. Li, S. Randhawa
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引用次数: 2

Abstract

A morphological edge detection technique using successive segmentation is presented. This method is based on the fact that an existing edge must lie within one or more threshold levels of a grayscale image. The detection of the desired edge is achieved by applying a perimeter function criterion so that the corresponding threshold level is included. The detection of fine edges can be controlled by the number of stages in the process of successive segmentation. It has been shown that our proposed technique performs favourably in terrain-type images when compared with many other well known edge detection algorithms.
基于连续分割的热图像形态学边缘检测
提出了一种基于连续分割的形态学边缘检测技术。该方法基于现有边缘必须位于灰度图像的一个或多个阈值级别的事实。通过应用周长函数准则来实现所需边缘的检测,以便包含相应的阈值水平。精细边缘的检测可以通过连续分割过程中的阶段数来控制。与许多其他已知的边缘检测算法相比,我们提出的技术在地形类型图像中表现良好。
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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