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Multiresolution random fields and their application to image analysis
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Wilson, Roland and Li, Chang-Tsun (1999) Multiresolution random fields and their application to image analysis. University of Warwick. Department of Computer Science. (Department of Computer Science research report). (Unpublished)
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Abstract
In this paper, a new class of Random Field, defined on a multiresolution array structure, is defined. These combine earlier, tree based models with the more conventional MRF models. The fundamental statistical properties of these models are investigated and it is proved that they can avoid some of the obvious limitations of their predecessors, in terms of modelling realistic image structures. Prediction and estimation from noisy data are then considered and a new procedure: Multiresolution Maximum a Posteriori estimation, is defined. These ideas are then applied to the problem of analysing images containing a number of regions. It is shown that the model forms an excellent basis for the segmentation of such images.
Item Type: | Report | ||||
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Subjects: | T Technology > TA Engineering (General). Civil engineering (General) | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Library of Congress Subject Headings (LCSH): | Image processing -- Digital techniques, Random fields | ||||
Series Name: | Department of Computer Science research report | ||||
Publisher: | University of Warwick. Department of Computer Science | ||||
Official Date: | 20 August 1999 | ||||
Dates: |
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Number: | Number 361 | ||||
Number of Pages: | 37 | ||||
DOI: | CS-RR-361 | ||||
Institution: | University of Warwick | ||||
Theses Department: | Department of Computer Science | ||||
Status: | Not Peer Reviewed | ||||
Publication Status: | Unpublished | ||||
Funder: | Zhongzheng li gong xue yuan [Chung Cheng Institute of Technology] | ||||
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