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Experimentation on the use of chromaticity features, local binary pattern and discrete cosine transform in colour texture analysis

Padmapriya, N., Ghita, Ovidiu and Whelan, Paul F. ORCID: 0000-0001-9230-7656 (2003) Experimentation on the use of chromaticity features, local binary pattern and discrete cosine transform in colour texture analysis. In: SCIA-2003 - The 13'th Scandinavian Conference on Image Analysis: 186-192, June 2003, Goteborg, Sweden.

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Abstract

This paper describes a method for colour texture analysis, which performs segmentation based on colour and texture information. The main goal of this approach is to examine the contribution of chromaticity features in the analysis of texture. Local binary pattern and discrete cosine transform are the techniques utilised as a tool to perform feature extraction. Segmentation is carried out based on an unsupervised texture segmentation method. The performance of the method is evaluated using dierent chromaticity features and also using the ROC curves. The results indicate that the inclusion of colour information improves the segmentation performance.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:computer vision; image analysis; Segmentation; Discrete cosine transform; Texture; Colour
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:18803
Deposited On:15 Aug 2013 08:58 by Mark Sweeney . Last Modified 17 Jan 2019 13:05

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