Title :
A Way of Image Fusion Based on Wavelet Transform
Author :
Huaxun Zhang ; Xu Cao
Author_Institution :
Electron. Eng. Coll., Changchun Univ., Changchun, China
Abstract :
In this paper a way of medical image fusion based on wavelet theory is introduced. Medical image fusion have three steps, they are image processing, image registration and image fusion. In the paper, image processing get across multi resolution characteristics of wavelet to denoise, image registration pass the wavelet analysis to gain biggish change point and receive image edge to achieve quick and nice superposable, image fusion use disassumble image to different frequency sub band to save all information to have a perfect fusion. Simulation experiment proved it has advantages of simply calculation, fast superposition and perfect fusion in medical image fusion. It is a direction of medical reacher and clinic iatrology.
Keywords :
edge detection; image denoising; image fusion; image registration; image resolution; medical image processing; wavelet transforms; biggish change point; disassumble image; edge detection; frequency subband; image denoising; image processing; image registration; medical image fusion; multiresolution characteristics; superposable image; wavelet transform theory; Biomedical imaging; Equations; Image edge detection; Image fusion; Image registration; Wavelet transforms; Image Fusion; Image Processing; Image Registration; Wavelet Transform Theory;
Conference_Titel :
Mobile Ad-hoc and Sensor Networks (MSN), 2013 IEEE Ninth International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-0-7695-5159-3
DOI :
10.1109/MSN.2013.103