Image Segmentation Technology Based On Piecewise Constant Level Set Method

Recently,a segmentation methods based on level set have attracted more and moreattentions. Compared to traditional image segmentation approaches, the method havemany prominent virtues: such as insensitivity to the initial curve position, the strongability to deal with the topological changes etc.First of all, the paper summarizes the purpose and significance of image segmentation,introduce and analyze Mumford-Shah model,Chan-Vese model and piecewise constant levelset method.Second, in the base of piecewise constant level set image segmentation method basedon Mumford-Shah model in [10], in order to improve the segmentation e?ect and increasethe algorithm speed, we analyze and improve structure of the term ,we propose a improvedMumford-shah model.The experiment shows the model is validity.Third, in order to avoid the in?uence of texture, we adopt decomposition idea inMumford-Shah model, and combine with piecewise constant level set method. We proposea MSWD(Mumford-Shah with decomposition)model. the model can separate texture ornoise. We also show the algorithm methods, and testify the rationality and validity of themodel by experiment.Finally, we propose an iterative filter algorithm based on impulse noise.