Invariant Feature Matching for Image Registration Application Based on New Dissimilarity of Spatial Features.

ABSTRACT: An invariant feature matching method is proposed as a spatially invariant feature matching approach. Deformation effects, such as affine and homography, change the local information within the image and can result in ambiguous local information pertaining to image points. New method based on dissimilarity values, which measures the dissimilarity of the features through the path based on Eigenvector properties, is proposed. Evidence shows that existing matching techniques using similarity metrics--such as normalized cross-correlation, squared sum of intensity differences and correlation coefficient--are insufficient for achieving adequate results under different image deformations. Thus, new descriptor's similarity metrics based on normalized Eigenvector correlation and signal directional d

SUBMITTER: Mousavi Kahaki SM 

PROVIDER: S-EPMC4795769 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature