期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2009
卷号：5
期号：06
出版社：Journal of Theoretical and Applied
摘要：The term fusion means in general an approach to extraction of information acquired in several domains. The goal of image fusion (IF) is to integrate complementary multi sensor, multi temporal and/or multi view information into one new image containing information the quality of which cannot be achieved otherwise. The term “quality”, its meaning and measurement depend on the particular application. In this paper, Fast Discrete Curvelet Transform using Wrapper algorithm based image fusion technique, has been implemented, analyzed and compared with Wavelet based Fusion Technique. Fusion of images taken at different resolutions, intensity and by different techniques helps physicians to extract the features that may not be normally visible in a single image by different modalities. This work aims at fusion of two images containing varied information. Proposed algorithm takes care of registration as well as fusion in a single pass. Attempt has been taken to fuse MRI with CT and MR/MR images of
Preclinical data. In magnetic resonance imaging (MRI), there are three bands of images ("MRI triplet") available, which are T1-, T2- and PD-weighted images. The three images of a MRI triplet provide complementary structure information and therefore it is useful for diagnosis and subsequent analysis to combine three-band images into one. This fused image can significantly benefit medical diagnosis and also the further image processing such as, visualization (colorization), segmentation, classification and computer-aided diagnosis (CAD). This approach is is further optimized utilizing quantitative fusion metrics such as the Entropy, Difference Entropy, and Standard Deviation, image quality index (IQI) and ratio spatial frequency error (rSFe).
