DocumentCode :
2202724
Title :
Sensitivity analysis of similarity metrices for image matching
Author :
Malla, Raja ; Devarajan, Venkat
Author_Institution :
Dept. of Electr. Eng., Texas Univ., Arlington, TX, USA
fYear :
1994
fDate :
21-24 Apr 1994
Firstpage :
76
Lastpage :
81
Abstract :
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
Keywords :
correlation methods; image sequences; iterative methods; correlation function; error function; hybrid iterative method; image matching; matching accuracy; rotated images; sensitivity analysis; similarity metrices; simulation results; translation; Area measurement; Image matching; Image recognition; Iterative algorithms; Layout; Navigation; Performance analysis; Remote sensing; Rotation measurement; Sensitivity analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Interpretation, 1994., Proceedings of the IEEE Southwest Symposium on
Conference_Location :
Dallas, TX
Print_ISBN :
0-8186-6250-6
Type :
conf
DOI :
10.1109/IAI.1994.336681
Filename :
336681
Link To Document :
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