文章基本信息

标题：Color Image Segmentation Using an Efficient Fuzzy Based Watershed Approach
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作者：Dibya Jyoti Bora ; Anil Kumar Gupta ; Fayaz Ahmad Khan 等
期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2015
卷号：6
期号：5
页码：15
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Color image segmentation is a very emerging topic in current image processing research. An optimaltechnique for the same is always sought by the researchers of this field. In this paper, an efficient approachfor color image segmentation is proposed. Here, the input color image is first converted from RGB to HSVcolor space. The V channel of the HSV converted image is extracted and normalized between 0 and 1. Thenthis normalized V channel is sent as input to Fuzzy C Means (FCM) algorithm. The fuzzy segmented imageis then thresholded with Otsu’s method. The thresholded image is then filtered by sobel filter and sent asinput to the Meyer’s watershed algorithm. This produces the final segmented image of the original colorimage. The proposed approach is found very efficient after analyzing and comparing the results withpreviously existed watershed algorithm in terms of the MSE and PSNR values.
关键词：Color Image Segmentation; FCM; Image Normalization; Otsu’s Method; Sobel Filter; Watershed;Algorithm