Image segmentation by histogram thresholding using hierarchical cluster analysis
Image segmentation by histogram thresholding using hierarchical cluster analysis
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DOI：
10.1016/j.patrec.2006.02.022
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发表时间：
2006-10-01
影响因子：
5.1
通讯作者：
Asano, Akira
中科院分区：
文献类型：
--
作者：
Arifin, Agus Zainal;Asano, Akira
本文提出了一种新的图像阈值化方法，即利用图像直方图的聚类组织进行阈值化。提出了一种新的基于待合并类的类间方差和新合并类的类内方差的相似性度量方法。对实际图像的实验表明了该方法的有效性。(c)2006 Elsevier B.V.保留所有权利。
This paper proposes a new method of image thresholding by using cluster organization from the histogram of an image. A new similarity measure proposed is based on inter-class variance of the clusters to be merged and the intra-class variance of the new merged cluster. Experiments on practical images illustrate the effectiveness of the new method. (c) 2006 Elsevier B.V. All rights reserved.