Title :
Medical image pseudo coloring by wavelet fusion
Author :
Kok, C.W. ; Hui, Y. ; Nguyen, T.Q.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
fDate :
31 Oct-3 Nov 1996
Abstract :
Wavelet image fusion is proposed for medical image pseudo coloring. Wavelet efficiently separates an image into different subspaces that preserve the features of the original images after pseudo coloring. Feature classification information can be directly applied to the coarse approximation of the wavelet decomposed image without segmenting the original image. The proposed method improves the processing speed of the pseudo coloring algorithm and is robust in processing noisy images
Keywords :
image classification; image colour analysis; medical image processing; wavelet transforms; coarse approximation; feature classification information; image subspace; medical diagnostic imaging; medical image pseudo coloring; noisy images; wavelet fusion; Biomedical imaging; Colored noise; Image fusion; Image reconstruction; Image segmentation; Medical diagnostic imaging; Noise robustness; Time frequency analysis; Wavelet coefficients; Working environment noise;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.651909
