DocumentCode :
1742208
Title :
A novel similarity measure to evaluate image correspondence
Author :
Marti, Robert ; Zwiggelaar, Reyar ; Rubin, Caroline
Author_Institution :
Div. of Comput. Sci., Univ. of Portsmouth, UK
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
167
Abstract :
We have developed a novel similarity measure to evaluate image correspondence. Our method is based on the mutual information between images. The main difference to other mutual information approaches is that we incorporate spatial information using grey-level co-occurrence matrices, leading to a more general measurement. We have used this technique to evaluate two registration algorithms (local affine transformation and thin plate splines) applied to a dataset of mammographic images
Keywords :
image registration; matrix algebra; splines (mathematics); grey-level co-occurrence matrices; image correspondence evaluation; image registration; local affine transformation; mammographic images; mutual information; similarity measure; spatial information; thin plate splines; Application software; Biomedical imaging; Breast; Computer science; Computer vision; Hospitals; Image registration; Image retrieval; Mutual information; Shearing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.903511
Filename :
903511
Link To Document :
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