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Modeling and classifying color textures using random fields in a random environment
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DOI：10.1016/S0031-3203(98)00130-7.png)
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摘要
En 中文
We present a random environment model for color textures. This model generalizes traditional random field models by allowing the spatial interaction parameters of the field to be random variables. We use this new model to define a compact color feature vector which captures within and between color band information. A set of color textures is used to show that this feature vector contains most of the information in the model. We show experimentally that the new model improves on the performance of multiband Markov fields for texture classification using small samples. (C) 1999 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
Keyword:
random field
random environment
color texture
image modeling
classification
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