Color image segmentation algorithm based on watershed segmentation and seed growing segmentation

A color image segmentation algorithm based on watershed segmentation and seed region growing segmentation is proposed in this paper.Firstly,the color image is preprocessed before segmenting.Secondly,watershed segmentation is used to initialize the image.Thirdly, region seeds are selected automatically to grow according to two rules from all regions produced by watershed segmentation.Finally,similar or small regions are merged by region-merging method.In this new algorithm,regions are considered as growth units with a disposable seed region growing method.The experimental results show that the algorithm can quickly produce good segmentation results.