说明：  图像细化的方法有两种即边缘点删除和内点保留传统的基于边缘点删除的细化算法在细化过程中只对边缘点的可删除性进行判断并作相应处理由于受跟踪顺序及所考察邻域的影响容易产生骨架的非对称性基于内点保留的细化算法容易使所获得的骨架大于一个像素本文在分析上述两类细化算法的基础上综合运用上述两种细化方法提出一种新的行之有效的并行细化算法.
(Image Thinning There are two ways to delete that edge points and inner points to retain the traditional delete edge points based on the thinning algorithm in the refinement process only to the edge points can be carried out to determine and delete accordingly deal with the order because of tracking and examined the impact of neighborhood prone to asymmetric skeleton reservation-based interior-point thinning algorithm easily get more than a skeleton pixels Based on the analysis of these two types of thinning algorithm based on the comprehensive use of the two refinement method presents a new parallel thinning algorithm effective.)