Gaussian mixture models of texture and colour for image database retrieval

2003/12/22 by Haim H. Permuter, Joseph M. Francos, Ian H. Jermyn · 3 citations
Computer Science · Engineering · #Image Retrieval and Classification Techniques #Advanced Image and Video Retrieval Techniques #Remote-Sensing Image Classification #Computer science #Artificial intelligence #Mixture model #Image retrieval #Pattern recognition (psychology) #Image texture #Gaussian #Texture (cosmology) #Gaussian network model #Computer vision #Image (mathematics) #Database #Image processing

paper · doi:10.1109/icassp.2003.1199538

openalex publication_date 2003/12/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

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.

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• A study of Gaussian mixture models of color and texture features for image classification and segmentation
• Solving Inverse Problems With Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity
• Mixture model [wikipedia]