Vessel segmentation of retinal image based on pixel specificity and self-adaptive classification strategy

A new vessel segmentation method called specificity and self-adaptive vessel detection (SSVD) was proposed based on pixel specificity and self-adaptive classification strategy, in the beginning pixel specificity was defined, by setting a higher pixel specificity threshold, the main vessel skeleton was extracted; then self-adaptive classification process was implemented, and each of the remaining undetermined pixels acted as an Agent, within a multi-scale threshold range, Agent revised its own status according to the status of its neighbor, so as to complete the classification of the pixels; finally the noise was removed by multi-window noise filtering method. By testing SSVD on DRIVE database, the experiment shows that it is more accurate and efficient than state-of-the-art methods. ©, 2015, Tongxin Xuebao/Journal on Communications. All right reserved.