PROJECT TITLE :

Advanced weight graph transformation matching algorithm

ABSTRACT:

An economical and accurate purpose matching algorithm named advanced weight graph transformation matching (AWGTM) is proposed in this study. Rather than relying solely on the elimination of dubious matches, the tactic iteratively reserve correspondences which have a little angular distance between two nearest-neighbour graphs. The proposed algorithm is compared against weight graph transformation matching (WGTM) and graph transformation matching (GTM). Experimental results demonstrate the superior performance in eliminating outliers and reserving inliers of AWGTM algorithm below numerous conditions for images, like duplication of patterns and non-rigid deformation of objects. An execution time comparison is additionally presented, where AWGTM shows the best results for top outlier rates.


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