文章基本信息

标题：Fuzzy Watershed Algorithm: An enhanced algorithm for 2D gel electrophoresis image segmentation
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作者：Shaheera Rashwan ; Amany M. Sarhan ; Muhamed Talaat Faheem 等
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2012
卷号：9
期号：2
出版社：IJCSI Press
摘要：An important issue in the analysis of two-dimensional electrophoresis images is the detection and quantification of protein spots. The main challenges in the segmentation of 2DGE images are to separate overlapping protein spots correctly and to find the abundance of weak protein spots. To enable comparison of protein patterns between different samples, it is necessary to match the patterns so that homologous spots are identified. In this paper, we describe a new robust technique to segment and model the different spots present in the gels. The Watershed segmentation algorithm is modified to handle the problem of over segmentation by initially partitioning the image to mosaic regions using the composition of fuzzy relations. The experimental results showed the effectiveness of the proposed algorithm to overcome the over segmentation problem associated with the available algorithm. We also use a wavelet denoising function to enhance the quality of the segmented image. The parameters of the wavelet function are obtained using the Genetic Algorithm search technique. The results of using the denoising function before the proposed Fuzzy Watershed segmentation algorithm is very promising as they are better than those without denoising.
关键词：Protein Spot Detection; Watershed Segmentation; over;segmentation; Fuzzy Relations