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Addendum published on 30 November 2015, see Sensors 2015, 15(12), 29923.

Open AccessArticle
Sensors 2015, 15(7), 15595-15610;

Assigning Main Orientation to an EOH Descriptor on Multispectral Images

Beijing University of Posts and Teles., School of Electronic Engineering, Rd. Xitucheng 10#, Beijing 100876, China
Beijing Anzhen Hospital, Capital Medical University and Beijing Institute of Heart Lung and BloodVessel Disease, Beijing 100029, China
Author to whom correspondence should be addressed.
Academic Editor: Assefa M. Melesse
Received: 8 May 2015 / Revised: 16 June 2015 / Accepted: 23 June 2015 / Published: 1 July 2015
(This article belongs to the Section Remote Sensors)
Full-Text   |   PDF [1708 KB, uploaded 1 July 2015]


This paper proposes an approach to compute an EOH (edge-oriented histogram) descriptor with main orientation. EOH has a better matching ability than SIFT (scale-invariant feature transform) on multispectral images, but does not assign a main orientation to keypoints. Alternatively, it tends to assign the same main orientation to every keypoint, e.g., zero degrees. This limits EOH to matching keypoints between images of translation misalignment only. Observing this limitation, we propose assigning to keypoints the main orientation that is computed with PIIFD (partial intensity invariant feature descriptor). In the proposed method, SIFT keypoints are detected from images as the extrema of difference of Gaussians, and every keypoint is assigned to the main orientation computed with PIIFD. Then, EOH is computed for every keypoint with respect to its main orientation. In addition, an implementation variant is proposed for fast computation of the EOH descriptor. Experimental results show that the proposed approach performs more robustly than the original EOH on image pairs that have a rotation misalignment. View Full-Text
Keywords: keypoint; main orientation; EOH; descriptor keypoint; main orientation; EOH; descriptor
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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MDPI and ACS Style

Li, Y.; Shi, X.; Wei, L.; Zou, J.; Chen, F. Assigning Main Orientation to an EOH Descriptor on Multispectral Images. Sensors 2015, 15, 15595-15610.

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