文章基本信息

标题：Automated Numbers of Cluster Determination Using the Combination of Entropy and Histogram Peaks from Multiple Images
作者：Swati Chowdhury ; Sudipta Roy ; Anirban Mitra 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：7
页码：107-116
DOI：10.14257/ijsip.2016.9.7.10
出版社：SERSC
摘要：Image segmentation subdivided an image into its constituent regions or segments. This regions or segments of an image is known as 'cluster' and the method used for this is called 'clustering method'. There are different methods or algorithms are out there to segment an image. There is a problem with those algorithms user has to supply the number of cluster in which it has to be segmented. Here we introduced a method using combination of both entropy of RGB color component and histogram to automatic determination of cluster present in a color image.
关键词：Cluster; Segmentation; Histogram; Entropy; Relative Error; Image ; Processing