Gaussian Mixture Models of Texture and Colour for Image Database Retrieval

Permuter, H.; Francos, J.; Jermyn, I.H.

Abstract

We introduce Gaussian mixture models of 'structure' and colour features in order to classify coloured textures in images, with a view to the retrieval of textured colour images from databases. Classifications are performed separately using structure and colour and then combined using a confidence criterion. We apply the models to the VisTex database and to the classification of man-made and natural areas in aerial images. We compare these models with others in the literature, and show an overall improvement in performance.

Citation

Permuter, H., Francos, J., & Jermyn, I. (2003). Gaussian Mixture Models of Texture and Colour for Image Database Retrieval. In IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003 (ICASSP '03) (569-572). https://doi.org/10.1109/icassp.2003.1199538

• Conference Name: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
• Conference Location: Hong Kong, China
• Publication Date: Apr 1, 2003
• Deposit Date: Aug 12, 2011
• Publicly Available Date: May 11, 2016
• Volume: 3
• Pages: 569-572
• Series ISSN: 1520-6149
• Book Title: IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003 (ICASSP '03).
• DOI: https://doi.org/10.1109/icassp.2003.1199538