A novel similarity measure to evaluate image correspondence

R. Marti, R. Zwiggelaar, C. M. E. Rubin

Research output: Contribution to conferencePaper

15 Citations (Scopus)

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
Original languageEnglish
Pages167-170
Number of pages4
DOIs
Publication statusPublished - 2000
Event15th International Conference on Pattern Recognition - Barcelona, Spain
Duration: 3 Sep 20007 Sep 2000

Conference

Conference15th International Conference on Pattern Recognition
Country/TerritorySpain
CityBarcelona
Period3/09/007/09/00

Cite this