A Novel Method for Medical Image Fusion and Comparative Analysis
Pages : 1708-1715
Image Fusion combines two or more input images to a single composite image having redundant and complementary information and gives better visualization. It could be performed on various levels and domains like; images from single or multiple sensors, images taken at same or different times or images from single or multiple views. Among the three levels of fusion; we will focus on the pixel level image fusion. Image fusion methods have a wide area of applications like remote sensing, medical images, multi focused images, military applications, target detection and many more. A novel approach based on Shift Invariant Discrete Wavelet and PCA is presented here. In this paper we will explain the need of fusion, selection of filters for image processing and finally the proposed scheme with results obtained on various data sets. The paper will conclude with comparative analysis with some other data sets.
Keywords: Pixel level fusion methods, medical images, SiDWT, PCA
Article published in International Journal of Current Engineering and Technology, Vol.3,No.5(Dec- 2013)