A Hierarchical Algorithm for Multiphase Texture Image Segmentation

Abstract EN

Image segmentation is a fundamental task for many computer vision and image processing applications.

There exist many useful and reliable models for two-phase segmentation.

However, the multiphase segmentation is a more challenging problem than two phase segmentation, mainly due to strong dependence on initialization of solutions.

In this paper we propose a reliable hierarchical algorithm for multiphase texture image segmentation by making full use of two-phase texture models in a fuzzy membership framework.

Application of the new algorithm to the synthetic and real medical imaging data demonstrate more satisfactory results than existing algorithms.