Shape gradient for multimodal image segmentation using mutual information

This paper deals with video and image segmentation using region based active contours. We propose to search for an optimal domain with regards to a criterion based on information measures such as entropy of mutual information. We use a general derivation framework based on the notion of shape gradient. This general derivation is applied to criteria based on information theory, such as mutual information for the segmentation of sequences of images. Finally, we present experimental results on color video sequences showing the efficiency of the proposed method for face segmentation.