Image Segment Based on the Self-adaptive Threshold EM and GMM Algorithm

A new segment algorithm which was self-adaptive to the image content,combining patch-based information with edge cues under a probabilistic framework was presented.Edges were detected firstly.Then a histogram and the segmentable measure of the imgae were computed.Later EM algorithm was adopted to estimate the mixture of multiple Gaussians which was built as a statistical model on spatial features.Lastly the adjacent regions with similar properties are united to one.The novelty of this algorithm is that the threshold was computed by segmentable measure which was adaptive to image.Some experimental results are qualitatively and quantitatively evaluated on a large data-set of natural images by rand index(RI)and ground-truth,and it shows that the proposed method has an outstanding effect.