Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Designing hypothesis tests for digital image matching
Includes bibliographical references.
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Electrical Engineering
2014
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613158774931456 |
|---|---|
| access_status_str | Open Access |
| author | Cox, Gregory Sean |
| author2 | Wohlberg, Brendt |
| author_browse | Cox, Gregory Sean Wohlberg, Brendt |
| author_facet | Wohlberg, Brendt Cox, Gregory Sean |
| author_sort | Cox, Gregory Sean |
| collection | Thesis |
| description | Includes bibliographical references. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/5266 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:31:41.113Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Department of Electrical Engineering |
| publisherStr | Department of Electrical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/5266 Designing hypothesis tests for digital image matching Cox, Gregory Sean Wohlberg, Brendt Nicolls, Fred De Jager, Gerhard Electrical Engineering Includes bibliographical references. Image matching in its simplest form is a two class decision problem. Based on the evidence in two sensed images, a matching procedure must decide whether they represent two views of the same scene, or views of two different scens. Previous solutions to this problem were either based on an intuitive notion of image similarity, or were modelled on solutions to the superficially similar problem of target detection in images. This research, in contrast, uses a decision theoretic formulation of the problem, with the image pair as unit of observation and probability of error in the match/mismatch decision as performance criterion. A stochastic model is proposed for the image pair, and the optimal test of match and mismatch hypotheses for samples of this random process is derived. The test is written conveniently in terms of a statistic of the two images and a scalar decision threshold. The analytical advantages of a solution derived from first principles are illustrated with the derivation of hypothesis conditional probability distributions, optimal decision thresholds, and expessions for the probability of error in the decision. 2014-07-31T11:01:48Z 2014-07-31T11:01:48Z 2000 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/5266 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Electrical Engineering Cox, Gregory Sean Designing hypothesis tests for digital image matching |
| thesis_degree_str | Doctoral |
| title | Designing hypothesis tests for digital image matching |
| title_full | Designing hypothesis tests for digital image matching |
| title_fullStr | Designing hypothesis tests for digital image matching |
| title_full_unstemmed | Designing hypothesis tests for digital image matching |
| title_short | Designing hypothesis tests for digital image matching |
| title_sort | designing hypothesis tests for digital image matching |
| topic | Electrical Engineering |
| url | http://hdl.handle.net/11427/5266 |
| work_keys_str_mv | AT coxgregorysean designinghypothesistestsfordigitalimagematching |