The Study of Edge Detection of Cerebrovascular Image Based on Gabor Filter

In order to analyze and process the cerebrovascular image, we research the frame characteristic of the filter´s imaginary part based on the analysis of the basic character of the Gabor filter algorithm. In detecting the edge of cerebrovascular image, we introduce the imaginary part of the Gabor filter algorithm as the new image characters of cerebrovascular image, and get a better experiment result by using the analysis strategy of weighted average. At the same time, in order to accelerate the pick process, we improve the Gabor filter algorithm special condition and reduce the time-complexity of the algorithm greatly