一种基于模糊逻辑的图像增强算法  

An Improved Enhancement Algorithm for Medical Images Based on Fuzzy Logic

作　　者：程茜[1] 胡学龙[1] 宋鸣[1] 

机构地区：[1]扬州大学信息工程学院,江苏扬州225009

出　　处：《现代电子技术》2005年第16期73-75,共3页Modern Electronics Technique

基　　金：江苏省计算机信息处理技术重点实验室开放研究课题(KJS01023);江苏省教育厅自然科学研究计划项目(KK0310068);扬州大学科研基金资助项目(U0211097)

摘　　要：在分析Pal模糊增强算法不足的基础上,提出了一种改进的模糊增强算法,该算法简化了Pal算法中复杂的变换和逆变换运算,并采用新的增强算子,可根据不同类型的图像动态调整隶属度阈值uc,克服了Pal算法中隶属度阈值设置为固定值的不足,而且减少了迭代次数。实验证明,该算法适用面广,尤其对于灰度范围相对比较集中的低对比度的医学图像,处理效果更佳。In this paper, a novel improved algorithm is proposed by analyzing the deficiencies of Pal algorithm. The new algorithm simplified the complex transformation calculation, and a new enhancement operator is adopted, in which the threshold value of membership could be adjusted dynamically based on different types of images and the iteration times was also been reduced. At last,the experiments indicated that the algorithm has a better visual effect especially in some medical images that have less gray levels and low contrast.

关 键 词：医学图像增强 模糊逻辑 隶属函数 模糊增强算法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]