A new kind of entropy is proposed, which associates spatial and radiometric properties of images. The possible use of this entropy is shown firstly to measure the effect of picture processing algorithms, then to control the evolution of iterative contextual classification algorithms like Markov random fields.<>
Spatial entropy: a tool for controlling contextual classification convergence
Proceedings of 1st International Conference on Image Processing ; 2 ; 212-216 vol.2
1994-01-01
374732 byte
Conference paper
Electronic Resource
English
Spatial Entropy: A Tool for Controlling Contextual Classification Convergence
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