Image segmentation of color image based on region coherency

A two-step image segmentation algorithm is proposed, which is based on region coherency for the segmentation of color image. The first step is the watershed segmentation, and the next one is the region merging using artificial neural networks. Spatially homogeneous regions are obtained by the first step, but the regions are oversegmented. The second step merges the oversegmented regions. The proposed method exploits the luminance and chrominance difference components of the color image to verify region coherency. The YUV color coordinate system is used in this work.