生物医学工程研究Issue(4)：259-263,5.
基于小波变换的多模态医学图像的融合及性能评价
Multi-morphological Fusion of Medical Image and Performance Evaluation based on Wavelet Transform
摘要
Abstract
We choosed multi-focus images and standard MRI/CT gray images for source images and applied the following strate-gies to decomposition and fusion.On the one hand,decomposition of low frequency and high frequency wavelet coefficients was adopted with single scale and multi-scale way.On the other hand,image fusion region was selected by independent pixel and neighborhood operation.Through above different operation of decomposition and fusion,the fusion image of different fusion rule was obtained.Based on the fusion image of different fusion rule,the influences of various fusion rules on the fusion results were compared and analyzed, which was the purpose of this paper.By means of analyzing the experimental results and evaluation results of multi-focus fusion ima-ges and clinical MRI/CT fusion images.It show that neighborhood filtering operation can greatly improve the result of image fusion and make the detail of the image information more rich;multi-scale decompose can increase the brightness of the fusion image with respect to single scale decompose.关键词
图像融合/小波变换/融合规则/性能评价/灰度直方图Key words
Image fusion/wavelet transform/Fusion rule/Quality evaluation/Grey histogram分类
医药卫生引用本文复制引用
高清河,刚晶,王和禹,刘海英..基于小波变换的多模态医学图像的融合及性能评价[J].生物医学工程研究,2014,(4):259-263,5.基金项目
辽宁中医药大学非医药专业项目（601152）。 （）
