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Direct feature detection on compressed images

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Scotney, BW, Coleman, SA and Herron, MG (2005) Direct feature detection on compressed images. Pattern Recognition Letters, 26 (15). pp. 2336-2345. [Journal article]

Full text not available from this repository.

DOI: 10.1016/j.patrec.2005.04.006

Abstract

We present a general approach to the development of adaptive image processing operators of variable shape and size that can be applied directly to non-uniformly sampled images. The approach is demonstrated for second order derivative operators using content-based compressed images.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute > Information and Communication Engineering
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:37
Deposited By:Dr Sonya Coleman
Deposited On:01 Feb 2010 16:41
Last Modified:15 Jun 2011 11:08

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