Color- and Texture-based Image Segmentation Using the Expectation-Maximization Algorithm and its Application to Content-Based Image Retrieval.
Serge J. BelongieChad CarsonHayit GreenspanJitendra MalikPublished in: ICCV (1998)
Keyphrases
- expectation maximization
- image segmentation
- em algorithm
- texture image segmentation
- color images
- color information
- parameter estimation
- image retrieval
- mixture model
- probabilistic model
- relevance feedback
- maximum likelihood
- graph cuts
- gaussian mixture model
- computer vision
- unsupervised image segmentation
- color constancy
- markov random field
- multiscale
- segmentation algorithm
- low level image features
- k means
- color image segmentation
- web content
- generative model
- color space
- probability density function
- metadata
- segmentation method
- color features
- semantic information
- unsupervised segmentation
- low level visual features
- image processing
- information retrieval