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《Journal of Northeast Normal University(Natural Science Edition)》 2008-04
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Automatic SRG based region for color image segmentation

KONG Jun1,WANG Jia-nan2,GU Wen-xiang1,YIN Ming-hao1(1.College of Computer,Northeast Normal University,Changchun 130024,China;2.Network Information Center,Northeast Normal University,Changchun 130024,China)  
An automatic seeded region growing(SRG) based region algorithm for color image segmentation was provided in this paper.The method uses regions instead of pixels as the seeds of SRG.The architecture of the algorithm can be described as follows.First,the input RGB color image is transformed into HSI color space.Second,watershed segmentation was used to initialize the image.Third,the initial region seeds are au-tomatically selected according two rules advanced by us.Fourth,the color image is segmented into regions.Finally,region-merging method is used to merge similar or small regions.Experimental results show that our algorithm can produce good results.
【Fund】: 国家自然科学基金资助项目(60573067 60473042 60803102);; 东北师范大学青年自然科学基金资助项目(20070601)
【CateGory Index】: TP391.41
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