DocumentCode :
1679417
Title :
Matching point features using mutual information
Author :
Rangarajan, Anand ; Duncan, James S.
Author_Institution :
Dept. of Diagnostic Radiol. & Electr. Eng., Yale Univ., New Haven, CT, USA
fYear :
1998
Firstpage :
172
Lastpage :
181
Abstract :
The authors have developed a new mutual information-based registration method for matching unlabeled point features. In contrast to earlier mutual information-based registration methods which estimate the mutual information using image intensity information, the authors´ approach uses the point feature location information. A novel aspect of their approach is the spontaneous emergence of correspondence (between the two sets of features) as a natural by-product of information maximization. The authors have applied this algorithm to the problem of geometric alignment of primate autoradiographs. They also present a detailed theoretical comparison between their approach and other approaches that explicitly parameterize feature correspondence
Keywords :
biology computing; image matching; image registration; radioisotope imaging; zoology; feature correspondence parameterization; geometric alignment; image intensity information; information maximization; mutual information; mutual information-based registration methods; point feature location information; point features matching; primate autoradiographs; unlabeled point features; Algorithm design and analysis; Ear; Feature extraction; Mutual information; Pattern matching; Positron emission tomography; Probability; Radiology; Statistical analysis; Taxonomy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Image Analysis, 1998. Proceedings. Workshop on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8460-7
Type :
conf
DOI :
10.1109/BIA.1998.692445
Filename :
692445
Link To Document :
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