Title :
Mutual Information Based Registration and Region Based Wavelet Fusion of Images
Author_Institution :
CDAC, Trivandrum
Abstract :
The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. Mutual Information is the similarity measure used in this case for optimizing the two images. This method requires estimating joint histogram of the two images. The fusion of images is the process of combining two or more images into a single image retaining important features from each. The discrete wavelet transform (DWT) has become an attractive tool for fusing multimodal images. In this work it has been used to segment the features of the input images to produce a region map. Features of each region are calculated and a region based approach is used to fuse the images in the wavelet domain.
Keywords :
discrete wavelet transforms; feature extraction; image fusion; image registration; image segmentation; optimisation; discrete wavelet transform; feature segmentation; image optimization; image registration; joint histogram estimation; mutual information; region map; similarity measure; wavelet image fusion; Biomedical imaging; Clinical diagnosis; Computed tomography; Computer vision; Discrete wavelet transforms; Feature extraction; Image fusion; Image registration; Medical diagnostic imaging; Mutual information; cross correlation; fusion; mutual information; registration; wavelets;
Conference_Titel :
Computer Vision, Graphics & Image Processing, 2008. ICVGIP '08. Sixth Indian Conference on
Conference_Location :
Bhubaneswar
Print_ISBN :
978-0-7695-3476-3
Electronic_ISBN :
978-0-7695-3476-3
DOI :
10.1109/ICVGIP.2008.66
