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Multiscale spatial modeling with applications in image analysis
Dissertation (MSc)--University of Pretoria, 2018.
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| Format: | Thesis |
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University of Pretoria
2019
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| _version_ | 1867613576693284864 |
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| 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 | © 2018 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, 2018. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/68447 |
| institution | University of Pretoria (South Africa) |
| last_indexed | 2026-06-10T12:38:21.029Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| 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:2263/68447 Multiscale spatial modeling with applications in image analysis Fabris-Rotelli, Inger Nicolette vniekerk.carel@gmail.com van Niekerk, Janet van Niekerk, Carel Multiscale Methods Spatial Modeling DPT Texture Images Computer Vision UCTD Dissertation (MSc)--University of Pretoria, 2018. Computer vision is a very important research area and is continuously growing. One of the prevalent research areas in computer vision is image matching. In image matching there are two main components, namely feature detection and feature matching. The aim of this this study is to determine whether Direct Sampling can be used for feature matching, and also if the combination of Direct Sampling and the Discrete Pulse Transform feature detector can be a successful image matching tool. In feature detection there are many strong methods including convolutional neural networks and scale-space models such as SIFT and SURF, which are very well-known feature detection algorithms. In this work we utilize another scale-space decomposition tool called the Discrete Pulse Transform (DPT). We particularly use the DPT decomposition to enable significant feature detection. We then concentrate on using the Direct Sampling algorithm, a stochastic spatial simulation algorithm, for modelling and matching of features. We do not consider convolutional neural networks or SIFT or SURF for texture matching in this work, this is because we particularly focus on the use of spatial statistics in image matching. We finally propose a novel multiscale spatial statistics feature detection and matching algorithm which combines the DPT feature detection with Direct Sampling for feature matching, specifically for texture classes of images. The performance of the proposed method is tested by comparing the distances obtained from the proposed algorithm between different texture images. We see that this proposed novel multiscale spatial modelling approach to feature matching with the focus on textures performs well at discriminating between difficult to discriminate between textures. NRF SASA Grant Statistics HUB Internship CAIR Fund, CSIR Statistics MSc Unrestricted 2019-02-13T09:23:30Z 2019-02-13T09:23:30Z 2019 2018 Dissertation van Niekerk, C 2018, Multiscale spatial modeling with applications in image analysis, MSc Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/68447> http://hdl.handle.net/2263/68447 © 2018 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 | Multiscale Methods Spatial Modeling DPT Texture Images Computer Vision UCTD Multiscale spatial modeling with applications in image analysis |
| title | Multiscale spatial modeling with applications in image analysis |
| title_full | Multiscale spatial modeling with applications in image analysis |
| title_fullStr | Multiscale spatial modeling with applications in image analysis |
| title_full_unstemmed | Multiscale spatial modeling with applications in image analysis |
| title_short | Multiscale spatial modeling with applications in image analysis |
| title_sort | multiscale spatial modeling with applications in image analysis |
| topic | Multiscale Methods Spatial Modeling DPT Texture Images Computer Vision UCTD |
| url | http://hdl.handle.net/2263/68447 |