Title :
Medical image fusion with a shift-invariant morphological wavelet
Author :
Yang, Bo ; Jing, Zhongliang
Author_Institution :
Coll. of Inf. & Electr. Eng., Shandong Univ. of Sci. & Technol., Qingdao
Abstract :
This paper presents a novel algorithm for medical image fusion, using a shift-invariant multiscale decomposition scheme. The decomposition scheme is obtained by discarding the downsampling operators of a morphological wavelet. An experiment based on real medical images shows that the proposed method improves the quality of the fused image significantly.
Keywords :
computer vision; medical image processing; sensor fusion; wavelet transforms; medical image fusion; shift-invariant morphological wavelet; shift-invariant multiscale decomposition scheme; Aerospace testing; Biomedical imaging; Computed tomography; Educational institutions; Image fusion; Image reconstruction; Magnetic resonance imaging; Medical tests; Paper technology; Wavelet analysis; image fusion; medical imaging; nonlinear wavelet; shift-invariant;
Conference_Titel :
Cybernetics and Intelligent Systems, 2008 IEEE Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1673-8
Electronic_ISBN :
978-1-4244-1674-5
DOI :
10.1109/ICCIS.2008.4670742
