一种改进的核磁共振图像模糊边缘检测算法  

An improved detection algorithm for fuzzy MRI edges

作　　者：张久彪[1] 王辅之[1] 

机构地区：[1]蚌埠医学院计算机教研室,安徽蚌埠233000

出　　处：《合肥工业大学学报（自然科学版）》2008年第9期1472-1475,共4页Journal of Hefei University of Technology：Natural Science

摘　　要：文章针对模糊边缘检测传统算法即Pal算法的缺陷,提出了改进的边缘检测算法;通过定义有界函数作为隶属函数、采取更高效的模糊增强函数、引入P-M非线性扩散模型平滑图像噪声等措施,有效克服了传统Pal算法对低灰度、低对比度区域边缘检测效果差的缺陷;把改进算法用于对核磁共振图像的边缘检测,对比分析了不同边缘检测算法的边缘检测效果。In view of the drawbacks of the traditional Pal-King fuzzy edge detection algorithm, an improved edge detection algorithm is presented in this paper. By using a new membership function, an advanced fuzzy enhancement function and the PDE-based Perona-Malik model, the limitation of the Pal algorithm is effectively overcome in the low gray and low contrast area in the MRi. An experiment is made,and diffferent algorithms for edge detection are compared,which proves that the improved algorithm has a much better result.

关 键 词：边缘检测 模糊增强函数 P-M模型 Pal算法 核磁共振图像 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]