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基于分水岭滤波和模糊聚类的层次图像分割

[Hierarchical image segmentation based on watershed filtering and fuzzy cluster].

作者信息

Gong Jian

机构信息

Department of Biomedical Engineering, First Military Medical University, Guangzhou 510515, China.

出版信息

Di Yi Jun Yi Da Xue Xue Bao. 2004 Mar;24(3):329-31.

Abstract

Watershed algorithms is an automatic segmentation scheme to generate closed outlines, which might give rise to over-segmentation, i.e., numerous small segmented closed regions that blur the target contours or shapes. In this paper, the author proposed a scheme to merge the small regions and generate a hierarchical segmentation representation. We first define the dissimilarity measure between the neighboring regions, and based on this dissimilarity measurement, a fuzzy matrix calculation followed by hierarchical segmentation is performed. Experiments with various types of images are given.

摘要

分水岭算法是一种用于生成封闭轮廓的自动分割方案,但这可能会导致过分割,即产生大量小的分割封闭区域,从而模糊目标轮廓或形状。在本文中,作者提出了一种合并小区域并生成层次分割表示的方案。我们首先定义相邻区域之间的差异度量,并基于此差异度量进行模糊矩阵计算,随后进行层次分割。文中给出了对各种类型图像的实验。

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