电子学报2011，Vol.39Issue(6)：1447-1451,5.
基于KL距离加权和局部邻域信息的CV模型
KL Distance Weighted CV Model Based on Local Neighborhood Information
摘要
Abstract
We propose an improved model that changes those parameters by Kullback-Leibler(KL) distance and global region by local neighborhood near the curve. Validation is implemented by experiments on mass clinical images. Take manual segmentation by a medical expert as a standard, we show that the new model improves the segmentation results compared to traditional CV model. The function has better convergence speed and stability.关键词
Chen-Vese(CV)模型/KL距离/局部邻域信息/医学图像分割Key words
Chen-Vese(CV) modei/Kullback-Leibler(KL) distance/local neighborhood information/medical image segmentation分类
信息技术与安全科学引用本文复制引用
刘燕杰,卢振泰,冯前进,陈武凡..基于KL距离加权和局部邻域信息的CV模型[J].电子学报,2011,39(6):1447-1451,5.基金项目
国家自然科学基金项目(No.31000450) （No.31000450）
国家自然科学基金重点项目(No.30730036) （No.30730036）
国家重点基础研究(973)计划项目(No.2010CB732500) （973）
