期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：9
页码：19118
DOI：10.15680/IJIRSET.2017.0609201
出版社：S&S Publications
摘要：Image Segmentation is an imperative part of computer perception and it stills a difficult and thrivingsubject for machine and computer perception. Research in computer vision proves that the segmenting of an imageinto various understandable regions for subsequent post processing (e.g., scene understanding, pattern recognition) isan ambitious task.In this paper, the proposed system uses various segmentation methods to increase the accuracy of segmentation andsatisfactory visual entirety. The segmentation method is based on watershed, modified RAG-RKM and SLIC method.Using the Watershed segmentation we find how many pixels are allotted to which regions. Using modified RAGRKMmethod we find the mask and seed pixels using which the contour is plotted with the help of pixel value andangle of direction. The SLIC algorithm is used to find the segmentation of image using the angle of movement whichtakes into consideration the neighbourhood distance, edges of the regions and the area of the region. The proposedalgorithm is applied on BSD300 database which contains 300 natural images. The accuracy of the proposed system isvery high. Also the algorithm was applied on random color-texture images and the result found was good.
关键词：image segmentation; computer perception; scene understanding; pattern recognition; watershed;Region Adjacency Graph)(RAG)h; Region level k-means(RKM) ; Simple Linear Iterative Clustering(SLIC) etc.
