Mark Hobson, David (2009) Characterisation of rice grains using digital imaging techniques. Doctor of Philosophy (PhD) thesis, University of Kent. (doi:10.22024/UniKent/01.02.94420) (KAR id:94420)
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Language: English
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Official URL: https://doi.org/10.22024/UniKent/01.02.94420 |
Abstract
Visual characteristics of rice grains can be quantified through image acquisition and processing. In this research image capture hardware and dedicated image processing algorithms are developed as part of a system for rice grain characterisation. A series of experimental work was undertaken to test the effectiveness of the image processing algorithms. The imaging technique is non-intrusive and non-destructive of sample grains, and can be implemented at a low cost compared to other more established techniques.
In this thesis a review of techniques for the characterisation of rice grains is presented, with the main focus upon digital imaging approaches to understand the role it can play in isolation and in conjunction with other techniques. Following the review a physical rice grain image capture setup is designed, implemented and tested extensively with a range of cameras. A number of established image processing techniques are used with the custom built image capture setup to complete a novel system for the characterisation of rice grains. Extraction of features from the processed images is undertaken in order to test the features as being suitable to return descriptive characteristics of individual rice grains. In the course of these activity novel features, methodologies and feature analysis are created and implemented with wider potential applications beyond rice imaging. Results of these tests are given within this thesis. These tests take several forms in multiple sets of rice grain images, which were created, processed, and subject to different kinds of analysis to find different features.
Findings show that digital imaging can return a range of valid rice characteristics which are connectable to fraud and grading issues, identification of rice types, and assisting the physical measurement of rice grain properties. The performance of the system is discussed and suggestions given for the future development of the methodology.
Item Type: | Thesis (Doctor of Philosophy (PhD)) |
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DOI/Identification number: | 10.22024/UniKent/01.02.94420 |
Additional information: | This thesis has been digitised by EThOS, the British Library digitisation service, for purposes of preservation and dissemination. It was uploaded to KAR on 25 April 2022 in order to hold its content and record within University of Kent systems. It is available Open Access using a Creative Commons Attribution, Non-commercial, No Derivatives (https://creativecommons.org/licenses/by-nc-nd/4.0/) licence so that the thesis and its author, can benefit from opportunities for increased readership and citation. This was done in line with University of Kent policies (https://www.kent.ac.uk/is/strategy/docs/Kent%20Open%20Access%20policy.pdf). If you feel that your rights are compromised by open access to this thesis, or if you would like more information about its availability, please contact us at ResearchSupport@kent.ac.uk and we will seriously consider your claim under the terms of our Take-Down Policy (https://www.kent.ac.uk/is/regulations/library/kar-take-down-policy.html). |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
SWORD Depositor: | SWORD Copy |
Depositing User: | SWORD Copy |
Date Deposited: | 16 Jun 2023 09:53 UTC |
Last Modified: | 05 Nov 2024 12:59 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/94420 (The current URI for this page, for reference purposes) |
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