摘要
视网膜图像病变信息的计算机自动提取算法是计算机智能辅助诊断的关键和难点。本文根据CT和MRI视网膜图像的成像机理不同以及诊断的需要,通常将具有不同细节的多源图像融合到一幅图像中去,在小波变换后的矩阵系数上,采用模糊隶属度函数量化的方法来融合视网膜图像,结合了小波分析以及模糊理论的优越性,使融合后的图像包含更丰富的细节和更全面的信息,实验证明,该方法融合效果好、性能佳,突出了多源图像的细节信息。
The key process and difi3culty to realize compute intelligent auxiliary diagnosis of retinal image is how to automatically acquire the pathological information. For the different mechanism of medical apparatus and diagnostic demands of CT and MRI image, our goal in this paper is need to fuse different details of muhisource images to one image, we adopt fuzzy membership function to fuse retinal images on the basis of matrix coefficient after wavelet transform, the fused image contain more details and more comprehensive information for the superiority of wavelet analysis and fuzzy theory, the experiment indicates that using this method the effect and performance are very good, and the details of multisource images is standout.
出处
《微计算机信息》
北大核心
2006年第08Z期307-309,共3页
Control & Automation
关键词
小波分析
视网膜图像
模糊理论
性能评价
wavelet analysis, retinal image, fuzzy theory, performance evaluate
