中国临床康复2006，Vol.10Issue(45)：200-202,封3,4.
基于多尺度形态学的医学图像局部对比度增强
Local contrast enhancement of the medical image based on multiscale morphology
摘要
Abstract
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
医药卫生引用本文复制引用
叶德荣,赵媛媛,陈艳红..基于多尺度形态学的医学图像局部对比度增强[J].中国临床康复,2006,10(45):200-202,封3,4.基金项目
北京市自然科学基金资助项目(3053016) Beijing Natural Science Foundation, No. 3053016 （3053016）
