基于多尺度形态学的医学图像局部对比度增强(英文)  

Local contrast enhancement of the medical image based on multiscale morphology

作　　者：叶德荣[1] 赵媛媛[1] 陈艳红[1] 

机构地区：[1]首都医科大学生物医学工程学院,北京市100069

出　　处：《中国临床康复》2006年第45期200-202,F0003,共4页Chinese Journal of Clinical Rehabilitation

基　　金：北京市自然科学基金资助项目(3053016)~~

摘　　要：目的:寻找一种更精确有效的医学图像局部对比度增强方法,解决磁共振图像中常出现的局部对比度不足问题。方法:在对已有算法研究的基础上,提出了新算法。新算法的特点是:形态学运算采用了非对偶运算,对比度扩展运算采用加法运算代替乘法运算。为避免灰度偏差,提出了条件归一方法。结果:用实用磁共振图像和模拟实验对新算法进行了测试。新算法在精度、运算速度及对噪声的敏感性方面都优于已有同类算法。结论:利用形态学非对偶运算能够以更精确的方式实现局部对比度增强,灰度级偏差可以通过归一化方法消除。AIM： To find a more efficient and accurate method for medical image enhancement to resolve the problem of low local contrast, which often appears in magnetic resonance （MR） images. METHODS： Based on the investigation into the previous methods, a new algorithm was presented. The main features were as follows： Non-dual was used in the morphological operations and addition instead of multiplication was used in the contrast stretching operations. To avoid some gray-level bias, the method of normalized gray-level under condition was proposed. RESULTS： The new algorithm was tested by real MR images and simulated experiments. Compared with the previous method, the new method is more accurate, faster and less sensitive to noise. CONCLUSION： Non-dual morphological operations can achieve local contrast enhancement in a more accurate way, and the gray level bias can be eliminated by normalization.

关 键 词：数学形态学 局部对比度增强 医学图像 

分 类 号：R496[医药卫生—康复医学]