- Title
- Designing a framework for animal identification
- Creator
- Krijer, Hans, Foster, Gregory G, Bangay, Shaun D
- Subject
- To be catalogued
- Date
- 2008
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/432726
- Identifier
- vital:72895
- Identifier
- https://www.cs.ru.ac.za/research/g99k3906/hans.pdf
- Description
- The conventional methods of animal identification can be replaced with a semi-automatic image analysis tool, which distinguishes individuals based on their unique markings. A flexible framework for the analysis must encompass a combination of relevant features with interchangeable animal-specific modules. Developing a Java-ImageJ plug-in alleviates routine functionality, but enforces some degree of conformity. Zebra photographs are used as the initial data under consideration. De-interlacing, adaptive thresholding, smoothing and sharpening are identified as beneficial pre-processing steps. Binarisation and sequential thinning are discussed as essential processing stages. Pattern extraction and matching is based on vectors relative to a manually defined region of interest. Provision for enhancing the system to allow fully automatic processing must be made.
- Format
- 3 pages, pdf
- Language
- English
- Relation
- Conference, Krijger, H., Foster, G. and Bangay, S., 2008. Designing a framework for animal identification, Conference volume 2008 number 1 1 3 2008 Conference
- Rights
- Publisher
- Rights
- Use of this resource is governed by the authors
- Hits: 116
- Visitors: 120
- Downloads: 7
Collections
Bangay, Shaun Douglas (Dr)
Foster, Gregory George (Prof)
RU Department of Information Systems
RU Department of Computer Science
SDG 09. Industry, Innovation and Infrastructure
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | Designing a framework for animal identification.pdf | 736 KB | Adobe Acrobat PDF | View Details Download |