基于静态小波变换的变透明度法融合GFP荧光图像与相衬图像  

Fusion of GFP fluorescent and phase contrast images using stationary wavelet transform based variable-transparency method

作　　者：李添捷[1] 汪源源[1] 

机构地区：[1]复旦大学电子工程系,上海200433

出　　处：《光学精密工程》2009年第11期2871-2879,共9页Optics and Precision Engineering

基　　金：国家基础研究资助项目(No.2006CB705707);上海市重点学科建设资助项目(No.B112)

摘　　要：绿色荧光蛋白荧光图像与相衬图像的融合对蛋白质功能的研究和亚细胞结构的定位有重要价值。针对用于遥感图像融合的ARSIS概念下多尺度融合算法融合荧光图像与相衬图像时可能产生伪像的缺点,提出变透明度的概念。根据直观视觉效果设计了一组函数。为融合图像的每一像素分配了尺度透明度,并基于静态小波变换的分解结果对源图像进行融合。先通过30组图像的融合实验,估计出所设计函数的相应参数,用于对另外117组图像的融合测试,然后分别计算融合结果的荧光区和非荧光区与荧光图像、相衬图像的质量指数Q和高频相关系数HPCC这两个表征融合效果的特征参数。实验结果表明,相比常用的融合算法--透明度法、棋盘格法和静态小波替换法,本方法在保持交互可变透明度的同时,提高了融合结果细节的清晰程度,降低了荧光图像背景对融合结果的影响。It is valuable to fuse a Green Fluorescent Protein （GFP） fluorescence image and a corresponding phase contrast image for the research of the protein function and the localization of sub-cellular structures. With the aim to eliminate the false images come from the fusion of fluorescent images and phase contrast images by the multi-scale fusion algorithm based on the ARSIS concept in remote sensing images, a variable-transparency concept is proposed.A set of functions are designed based on visual effects. Then, each pixel is assigned a multi-scaled transparency,and original images are synthesized from the results of a Stationary Wavelet Transform （SWT）. Furthermore, 30 groups of images are used to estimate parameters involved in the function set and then 117 groups are assessed by means of qualitative tests. Quantified indexes related to the fused product and original images, such as the quality index Q and the high frequency correlation coefficient HPCC, are calculated for inside and outside of the fluorescent area, respectively. The experimental results demonstrate that compared with common algorithms, including the transparency method, chessboard method and the SWT substitution method, the proposed algorithm can keep the interactive user-transparency and improve the definition of fused products while reducing the effect of the dark background of fluorescent images.

关 键 词：图像融合 透明度 ARSIS概念 相衬图像 GFP荧光图像 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]