H. Permuter
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, April). Gaussian Mixture Models of Texture and Colour for Image Database Retrieval. Presented at IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hong Kong, China
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
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 |
Public URL | https://durham-repository.worktribe.com/output/1694249 |
Files
Accepted Conference Proceeding
(168 Kb)
PDF
Copyright Statement
© 2003 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
You might also like
Structured prior distributions for the covariance matrix in latent factor models
(2024)
Journal Article
Modality-Constrained Density Estimation via Deformable Templates
(2021)
Journal Article
Assessing the Non-Uniqueness of a Well Test Interpretation Model Using a Bayesian Approach
(2020)
Presentation / Conference Contribution