- Title
- A novel multi-modal image registration method based on corners
- Creator
- Lv, Guohua; Teng, Shyh; Lu, Guojun
- Date
- 2015
- Type
- Text; Conference proceedings
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/76330
- Identifier
- vital:7541
- Identifier
-
https://doi.org/10.1109/DICTA.2014.7008090
- Identifier
- 9781479954094 (ISBN)
- Abstract
- This paper presents a novel method for registering multi-modal images, based on corners. The proposed method is motivated by the fact that large content differences are likely to occur in multi-modal images. Unlike traditional multi-modal image registration methods that utilize intensities or gradients for feature representation, we propose to use curvatures of corners. Moreover, a novel local descriptor called Distribution of Edge Pixels Along Contour (DEPAC) is proposed to represent the neighborhood of corners. Curvature and DEPAC similarities are combined in our method to improve the registration accuracy. Using a set of benchmark multi-modal images and multi-modal microscopic images, we demonstrate that our proposed method outperforms an existing state-of-the-art image registration method.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- 2014 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2014, Wollongong, New South Wales, 25th-27th November 2014
- Rights
- Copyright © Institute of Electrical and Electronic Engineers, Inc
- Rights
- This metadata is freely available under a CCO license
- Subject
- Computer programming; Distribution of edge pixels; Feature representation; Local descriptors; Microscopic image; Multi-modal image; Multimodal image registration; Registration accuracy; Registration methods; Image registration
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