Abstract
Color histograms have been widely used successfully in many computer vision and image processing applications. However, they do not include any spatial information. In this paper, we propose a statistical model to integrate both color and spatial information. Our model is based on finite multiple-Beta- Bernoulli mixtures. The results show that our model achieves good performance in a specific image classification problem (city vs. landscape). © Springer-Verlag Berlin Heidelberg 2008.
Cite
CITATION STYLE
Bouguila, N., & Elguebaly, W. (2008). A statistical model for histogram refinement. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5163 LNCS, pp. 837–846). https://doi.org/10.1007/978-3-540-87536-9_86
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
