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Template deformation by maximizing mutual information

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2 Author(s)
Skouson, M.B. ; Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA ; Zhi-Pei Liang

This paper addresses the problem of fluidic template matching with application to image segmentation. The authors extend the technique by Miller et al. [see G.E. Christensen et al., IEEE Trans. Image Processing, vol. 5, p. 1435-47, 1996] to handle images with arbitrary contrast differences by using mutual information as the similarity metric

Published in:

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint  (Volume:2 )

Date of Conference:

Oct 1999