New colorful images segmentation algorithm based on level set

Abstract

Since the functional form in consideration is of non-convex variational nature,the calculation results of the image segmentation model often fall into local minimum.Based on the global vector-valued image segmentation of active contour,the global vector-valued image segmentation and image denoising were integrated in a new variational form within the framework of global minimum.The new model was easy to construct and of less computation.Compared to the classical level set method,tedious repetition of the level set could be avoided.With the analyses on artificial images and real images,the new method is verified to have better segmentation results.