A Region-based Image Segmentation Method Under P Systems

Abstract

Due to the reason of iterative calculation, there are some drawbacks for existing image segmentation methods based on region growing, such as large computation cost and low real-timing. Membrane computing is a novel class of computing models inspired by the structure and function of living cells, also known as P systems, which have the advantage of distributed and parallel computing. In order to overcome the drawbacks of existing image segmentation methods based on region growing, a regionbased image segmentation method based on P systems is proposed in this paper. A tissue-like P system designed specially applies evolution rules and communication rules to achieve an adaptive region growing for image segmentation. The proposed image segmentation method based on tissue-like P systems is evaluated in several standard gray-scale images and compared with the traditional image segmentation method based on region growing.