Medical Image Fusion Based on An Improved Wavelet Coefficient Contrast
Most of previous image fusion methods aim at obtaining as many as information from the different modality images. The fusion criterion is to minimize different error between the fused image and the input images. With respect to the medical diagnosis, the edges and outlines of the interested objects is more important than other information. Therefore, how to preserve the edge-like features is worthy of investigating for medical image fusion. As we know, the image with higher contrast contain more edge-like features. In term of this view, we proposed a new medical image fusion scheme based on an improved wavelet coefficient contrast, which is defined as the ratio of the maximum of detail components to the local mean of the corresponding approximate component. The visual experiments and quantitative assessments demonstrate the effectiveness of this method compared to present image fusion schemes,especially for medical diagnosis.
medical image fusion wavelet coefficient contrast edge preservation performance evaluation Medical diagnosis
Zhang-Shu Xiao Chong-Xun Zheng
Biomedical Engineering Research Institute,Xi′an Jiaotong University School of Computer Science,Shaan Biomedical Engineering Research Institute,Xi′an Jiaotong University
国际会议
北京
英文
1-4
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）