- Title
- COREG : A corner based registration technique for multimodal images
- Creator
- Lv, Guohua; Teng, Shyh; Lu, Guojun
- Date
- 2018
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/165463
- Identifier
- vital:13306
- Identifier
-
https://doi.org/10.1007/s11042-017-4907-3
- Identifier
- ISBN:1380-7501
- Abstract
- This paper presents a COrner based REGistration technique for multimodal images (referred to as COREG). The proposed technique focuses on addressing large content and scale differences in multimodal images. Unlike traditional multimodal image registration techniques that rely on intensities or gradients for feature representation, we propose to use contour-based corners. First, curvature similarity between corners are for the first time explored for the purpose of multimodal image registration. Second, a novel local descriptor called Distribution of Edge Pixels Along Contour (DEPAC) is proposed to represent the edges in the neighborhood of corners. Third, a simple yet effective way of estimating scale difference is proposed by making use of geometric relationships between corner triplets from the reference and target images. Using a set of benchmark multimodal images and multimodal microscopic images, we will demonstrate that our proposed technique outperforms a state-of-the-art multimodal image registration technique. © 2017, Springer Science+Business Media, LLC.
- Publisher
- Springer New York LLC
- Relation
- Multimedia Tools and Applications Vol. 77, no. 10 (2018), p. 12607-12634
- Rights
- Copyright © 2017, Springer Science+Business Media, LLC.
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0801 Artificial Intelligence and Image Processing; 0803 Computer Software; 0806 Information Systems; Content difference; Corner; Curvature; Multimodal image registration; Scale difference
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