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In this paper a nonparametric contextual classification using both spectral and spatial information will be proposed for hyperspectral image classification. Essentially, among the classification, spatial information is acquired on the basis of Markov random field (MRF) and then joined with the nonparametric density estimation. Two MRF-based nonparametric contextual classifications based on kNN and...
We present a novel probabilistic method to estimate the orientation field in fingerprint images. Traditional approach based on the smoothing of local image gradients usually generates unsatisfactory results in poor quality regions of fingerprint images. We show how to improve the orientation field estimation by first constructing a Markov random field (MRF) and then inferring the orientation field...
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