A mean shift and non-negative PCA based color image segmentation approach

Chenaoua, K. S. and Bouridane, Ahmed (2010) A mean shift and non-negative PCA based color image segmentation approach. In: 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010), 10-13 May 20010, Kuala Lumpur, Malaysia.

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Abstract

Image segmentation plays an important role in computer vision systems. An algorithm based on dimension reduction and the mean shift algorithm is used for the segmentation of color images. The Non negative matrix factorization is used for the transformation of the RGB components to a lower dimensional space. The mean shift algorithm is used to cluster the data in the reduced space and hence segment the image.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: signal processing
Subjects: G500 Information Systems
Department: Faculties > Engineering and Environment > Computer Science and Digital Technologies
Related URLs:
Depositing User: EPrints Services
Date Deposited: 01 Jun 2011 10:04
Last Modified: 10 Aug 2015 11:23
URI: http://nrl.northumbria.ac.uk/id/eprint/2675

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