A New Method for Human Microcirculation Image Enhancement
CHEN Yuan
ZHAO Zhi-min
LIU Lei
LI Peng
摘要：Microcirculation images often have uneven illumination and low contrast in the acquisition process, which affect the image reorganization and following process. This paper presents a new method for microcirculatory image illumination correction and con-trast enhancement based on the Contourlet transform. Initially, the image illumination model is extracted by Contourlet transform and then uneven illumination is corrected. Next, in order to restrain noise and enhance image contrast, the probability function asso-ciated with noise coefficient and edge coefficient is established and applied to all Contour-let coefficients. Then, a nonlinear enhancement function is applied to modified Contourlet coefficient to adaptively enhance image contrast. Finally, the enhanced image is obtained by inverse Contourlet transform. We compare this approach with other contrast enhance-ment methods, result showing that our method has a better effect than other enhancement methods, which might be helpful for clinical diagnostics of microcirculation.
机标关键词：Image EnhancementContourlet transformnonlinear enhancementprobability functionnew method
分类号：TP391(计算技术、计算机技术)
论文发表日期：2008-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：8( 153-160 )
英文信息