Aiming at the bad performance of existing retinal blood vessel segmentation methods for small and low contrast vessels

a new segmentation method based on transition region extraction is proposed.Firstly

the two-dimensional Gaussian matched filter is used to enhance the retinal image.Then the main vessels are segmented through optimal entropy method and the transition region is extracted by algorithm based on distributed genetic algorithm and Otsu.Finally

the vessels are obtained via analyzing the region connectivity.The experiments implemented on the Hoover database indicate that the proposed method outperforms the Hoover algorithm on the small vessels extraction

connectivity and effectiveness.In addition

the efficiency of this method could be improved by introducing the distributed genetic algorithm based on migration strategy.