International Conference on Advanced Computing, Communication and Networks - CCN 2011
Author(s) : LALITA RANDIVE, SHUBHANGI SAPKAL
In this paper, we present an automatic seeded region growing 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 YCbCr 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 will give more robust and precise results.