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A robust keypoint extraction and matching algorithm based on wavelet transform and information theory for point-based registration in endoscopic sinus cavity data
, Article Signal, Image and Video Processing ; 2015 , Pages 1-9 ; 18631703 (ISSN) ; Ahmadian, A ; Kasaei, S ; Sadrehosseini, S. M ; Farnia, P ; Sharif University of Technology
Springer-Verlag London Ltd
2015
Abstract
Feature extraction is one of the most important steps in processing endoscopic data. The extracted features should be invariant to image scale and rotation to provide a robust matching across a substantial range of affine distortions and changes in 3D space. In this study, a method is proposed on the basis of the dual-tree complex wavelet transform. First, a map is estimated for each scale, and then a Gaussian weighted additive function (GWAF) is determined. Keypoints are selected from local peaks of GWAF. The matching and registration are performed by applying normalized mutual information and our modified iterative closest point. Results are reported in terms of robustness to rotation,...
A robust keypoint extraction and matching algorithm based on wavelet transform and information theory for point-based registration in endoscopic sinus cavity data
, Article Signal, Image and Video Processing ; Volume 10, Issue 5 , 2016 , Pages 983-991 ; 18631703 (ISSN) ; Ahmadian, A ; Kasaei, S ; Sadrehosseini, S. M ; Farnia, P ; Sharif University of Technology
Springer-Verlag London Ltd
2016
Abstract
Feature extraction is one of the most important steps in processing endoscopic data. The extracted features should be invariant to image scale and rotation to provide a robust matching across a substantial range of affine distortions and changes in 3D space. In this study, a method is proposed on the basis of the dual-tree complex wavelet transform. First, a map is estimated for each scale, and then a Gaussian weighted additive function (GWAF) is determined. Keypoints are selected from local peaks of GWAF. The matching and registration are performed by applying normalized mutual information and our modified iterative closest point. Results are reported in terms of robustness to rotation,...