A study of Gaussian mixture models of color and texture features for image classification and segmentation

2006/01/20 by Haim Permuter, Haim H. Permuter, Joseph M. Francos +3 · 1 citation
Computer Science · Engineering · Mathematics · #Artificial intelligence #Bayesian Methods and Mixture Models #Computer science #Computer vision #Image (mathematics) #Image Retrieval and Classification Techniques #Image segmentation #Image texture #Mathematics #Mixture model #Pattern recognition (psychology) #Remote-Sensing Image Classification #Scale-space segmentation #Segmentation #Texture (cosmology)

paper · doi:10.1016/j.patcog.2005.10.028

openalex publication_date 2006/01/20 · crossref created 2006/01/20 · crossref issued 2006/04/01 · crossref published 2006/04/01 · crossref published-print 2006/04/01 · crossref deposited 2025/01/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/02 · crossref indexed 2026/08/02

Citations

• Unsupervised learning of finite mixture models
• Gaussian mixture models of texture and colour for image database retrieval
• Proceedings of the International Congress of Mathematicians

Cited by

• Mixture model [wikipedia]