Image feature detection on content-based meshes
Coleman, S.A.
Scotney, B.W.
Herron, M.
Fac. of Informatics, Ulster Univ., Jordanstown, UK;
This paper appears in: Image Processing. 2002. Proceedings. 2002 International Conference on
Publication Date: 2002
Volume: 1,
On page(s): I-844- I-847 vol.1
ISSN: 1522-4880
ISBN: 0-7803-7622-6
INSPEC Accession Number: 7596247
Digital Object Identifier: 10.1109/ICIP.2002.1038157
Current Version Published: 2002-12-10
Abstract
Non-uniformly sampled images represented on irregular content-based meshes are central to the developments in image compression techniques and in efficient motion tracking. We present a general approach to the development of systematic design procedures for scalable and adaptive low level image processing operators that can be applied to such non-uniformly sampled images. We provide algorithms that use the content-based mesh to address the usually difficult issue of local operator scale selection. The operator scale is therefore automatically matched to the local scale of the image features as embodied in the mesh. In this way we are able to apply a range of operators directly to compressed images. We demonstrate the approach with the design of image derivative operators that enable image feature detection to be implemented directly on compressed images.
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
