A REGION-BASED SRG ALGORITHM FOR COLOR IMAGE SEGMENTATION

摘要：

In this paper, we present an automatic seeded region growing (SRG) algorithm for color image segmentation.The method uses regions rather than 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, we use watershed segmentation to initialize the image.Third, the initial region seeds are automatically selected according to 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.Compared with pixel-based SRG algorithm, our method can yield more robust and precise results.Experimental results have also shown that our algorithm can produce excellent results.

关键词： Image segmentation Color image processing Watershed segmentation Automatic seeded region growing SRG

作者: JIA-NAN WANG JUN KONG YING-HUA LU WEN-XIANG CU MING-HAO YIN YONG-PENC XIAO

作者单位: College of computer Science, Faculty of Computer Science, Northeast Normal University, Changchun 130024, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1542-1547

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）