Color image segmentation based on mathematics morphology

In this paper we present a novel image segmentation algorithm, which combines edge and region-merged based techniques. First, an edge-preserving statistical noise reduction approach is used as a preprocessing stage in order to compute an accurate estimate of an image gradient. Second, we segment image into primitive regions by applying watershed transformation on the image gradient magnitude. In the end, we merge neighboring segment into homologous region by morphological erosion and dilation. Some experiments are presented to illustrate availability and effectiveness of our approach.