Rapid boundary tracking algorithm based on cerebrovascular image feature
一种基于脑血管图像特征的快速边界跟踪算法

When dealing with complex brain vascular images, classic boundary tracking algorithm exposed some disadvantages such as boundary was not high enough smooth, accuracy was limited and its speed was unsatisfied. This paper proposed a new rapid boundary tracking algorithm to solve those problems. Analysed the feature of cerebral vascular image edge that vertical details were more than horizontal details. Based on this feature, determined next border point with memory direction of the search options and different weights to different search directions. Experimental results show the proposed algorithm can get smooth boundary and its performance is enhanced greatly. For the next phase of cerebral vascular shape and feature extraction, the new algorithm provides accurate data.