基于矩阵分块化的GVF Snake模型

GVF Snake Model Based on Matrices Dividing

针对GVF Snake模型对高清图像计算速度较慢问题,通过对GVF力场的迭代计算过程、计算机Cache体系结构与原理的分析,提出了基于矩阵分块化的GVF力场的算法;确定了分块方式和最优分块大小。计算机仿真实验表明,这种方法能够大幅提高GVF外力场迭代运算速度。

In order to promote the contour extracting velocity in a high-definition image through GVF snake models, the process in GVF iterative computation, the architecture and theory of computer cache system are analyzed, a new algorithm for GVF based on partitioned matrix is advanced, and the corresponding partition size and partition mode are determined. The simulation result indicates that the new algorithm would shorten the computing time significantly.