Designing a framework for animal identification

Krijer, Hans; Foster, Gregory G; Bangay, Shaun D

Title: Designing a framework for animal identification
Creator: Krijer, Hans
Creator: Foster, Gregory G
Creator: Bangay, Shaun D
Subject: To be catalogued
Date Issued: 2008
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
Format: pdf
Language: English
Relation: Conference
Relation: Krijger, H., Foster, G. and Bangay, S., 2008. Designing a framework for animal identification
Relation: Conference volume 2008 number 1 1 3 2008 Conference
Rights: Publisher
Rights: Use of this resource is governed by the authors

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Bangay, Shaun Douglas (Dr)

Foster, Gregory George (Prof)

RU Department of Information Systems

RU Department of Computer Science

SDG 09. Industry, Innovation and Infrastructure

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