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The segmentation of CAM images are prerequisite and fundamental steps of studying the drug effects on angiogenesis. In this paper, an evaluation method for different segmentation algorithm of CAM images is proposed. Firstly, a CAM images dataset consists of 4 distinctive features (uneven illumination, vascular rupture, vascular disconnection and tiny vessels) is set up in order to study the performance of various CAM segmentation algorithms. Then, detailed comparisons are made among 4 classical segmentation algorithms, by comparing their outputs to our standard manual segmentation results of the dataset. Results show that the proposed evaluation method can accurately and sensitively determine the performance of these classical algorithms for CAM blood vessels under various conditions.

Research on Evaluation of CAM Image Segmentation Algorithms on a new Database