Image segmentation using seeded region growing

Image segmentation is the process of clustering pixels into salient image regions (i.e) regions corresponding to individual surfaces, objects or natural parts of objects. Image segmentation plays a vital role in image analysis and computer vision applications. Several general-purpose algorithms and techniques have been developed for image segmentation. Segmentation process should be stopped when region of interest is separated from the input image. Based on the application, region of interest may differ and hence none of the segmentation algorithm satisfies the global applications. Thus segmentation still remains a challenging area for researchers. This paper presents a comparison of some literature on color image segmentation based on region growing and merging algorithm. Finally an automatic seeded region growing algorithm is proposed for segmenting color images.