Statistical characterization of clutter scenes based on a Markov random field model |
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Authors: | Kasetkasem T Varshney PK |
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Institution: | Dept. of Electr. Eng., Kasetsart Univ., Bangkok, Thailand; |
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Abstract: | The problem of clutter region identification based on Markov random field (MRF) models is addressed. Observations inside each clutter region are assumed homogenous, i.e., observations follow a single probability distribution. Our goal is to partition clutter scenes into homogenous regions and to determine this underlying probability distribution. Metropolis-Hasting and reversible jump Markov chain (RJMC) algorithms are used to search for solutions based on the maximum a posteriori (MAP) criterion. Several examples illustrate the performance of our algorithm. |
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