Bostanci, Erkan and Kanwal, Nadia and Clark, Adrian F (2014) 'Spatial Statistics of Image Features for Performance Comparison.' IEEE Transactions on Image Processing, 23 (1). pp. 153-162. ISSN 1057-7149
![]() |
Text
Spatial statistics of Image Features for Performance Comparison.pdf Restricted to Repository staff only Download (8MB) |
Abstract
When matching images for applications such as mosaicking and homography estimation, the distribution of features across the overlap region affects the accuracy of the result. This paper uses the spatial statistics of these features, measured by Ripley's K -function, to assess whether feature matches are clustered together or spread around the overlap region. A comparison of the performances of a dozen state-of-the-art feature detectors is then carried out using analysis of variance and a large image database. Results show that SFOP introduces significantly less aggregation than the other detectors tested. When the detectors are rank-ordered by this performance measure, the order is broadly similar to those obtained by other means, suggesting that the ordering reflects genuine performance differences. Experiments on stitching images into mosaics confirm that better coverage values yield better quality outputs. © 1992-2012 IEEE.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Spatial statistics; image feature coverage; evaluation |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Elements |
Depositing User: | Elements |
Date Deposited: | 10 Sep 2014 09:37 |
Last Modified: | 15 Jan 2022 00:22 |
URI: | http://repository.essex.ac.uk/id/eprint/9192 |
Actions (login required)
![]() |
View Item |