Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Polygon detection in images
Dissertation (MSc)--University of Pretoria, 2015.
Saved in:
| Other Authors: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
University of Pretoria
2015
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613608265908224 |
|---|---|
| access_status_str | Open Access |
| author2 | Fabris-Rotelli, Inger Nicolette |
| author_browse | Fabris-Rotelli, Inger Nicolette |
| author_facet | Fabris-Rotelli, Inger Nicolette |
| collection | Thesis |
| dc_rights_str_mv | © 2015 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MSc)--University of Pretoria, 2015. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/50823 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:38:50.869Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/50823 Polygon detection in images Fabris-Rotelli, Inger Nicolette xionvann@gmail.com Van Niekerk, Johan Magnus UCTD Dissertation (MSc)--University of Pretoria, 2015. A combination of image processing algorithms can be used to detect and extract certain objects from images. Image noise may obscure the objects in the images and must rst be removed using image denoising and smoothing methods before the extraction of image objects can e ciently be attempted. Contour detection algorithms can be used to identify and extract objects from denoised images. The type of image, noise and noise intensity will determine the e ectiveness of the denoising and smoothing methods. The combination of the aforementioned will also determine the e ciency of the contour detection algorithms. In this dissertation we give some background on basic mathematical morphology techniques and we see how those techniques are used in various image smoothers and contour detection techniques. We develop our own smoother using some ideas from other well-known smoothers and compare the performance of the di erent smoothing methods. Various contour detection algorithms are investigated and we put the combination of the smoothing methods and the contour detection algorithms to the test by comparing how e ciently they detect and extract objects from images under various conditions. tm2015 Statistics MSc Unrestricted 2015-11-25T09:53:47Z 2015-11-25T09:53:47Z 2015/09/01 2015 Dissertation van Niekerk, JM 2015, Polygon detection in images, MSc Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/50823> S2015 http://hdl.handle.net/2263/50823 en © 2015 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Polygon detection in images |
| title | Polygon detection in images |
| title_full | Polygon detection in images |
| title_fullStr | Polygon detection in images |
| title_full_unstemmed | Polygon detection in images |
| title_short | Polygon detection in images |
| title_sort | polygon detection in images |
| topic | UCTD |
| url | http://hdl.handle.net/2263/50823 |