A COMPARISON OF MRI AND PET IMAGES FUSION BASED ON YCBCR AND IHS COLOR SPACES

Abstract

Image fusion is a process in which two or more images from different sources or of various states are merged to create a single image in order to increase desired information of the images, decrease ambiguity, and eliminate repeated information. Fusion of high spatial resolution images such as MRI image with high spectral resolution images such as PET image is a case in point. A proper fusion technique adds spatial information to the final image without obliterating spectral information. Among all available techniques for image fusion, color space based fusion, which can generate appropriate results, is widely used. Analysis and comparison of YCbCr color space based fusion and IHS based fusion methods are provided in this paper. Visual and quantitative evaluations indicate that YCbCr technique compared to IHS method performs better in preserving spectral information. However, IHS method yields better image fusion with regard to spectral information preservation.