This paper presents simulation results on the performance of similarity metrices for image matching. Specifically, matching and determining the transformation between slightly rotated images are addressed. The use of a correlation function and an error function as similarity metrices is reexamined when there is a coupling between translation and rotation. Sensitivity of these two metrices in the above context is compared. A hybrid iterative strategy is proposed based on the sensitivity analysis to enhance the matching accuracy.<>
Sensitivity analysis of similarity metrices for image matching
1994-01-01
532812 byte
Conference paper
Electronic Resource
English
Sensitivity Analysis of Similarity Metrices for Image Matching
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