Texture classification using a spatial-point process model
Published in IEE Proceedings - Vision Image and Signal Processing • Jan 1, 1995
Authors:
L.M. Linnett
Abstract
A Bayesian statistical classifier for the segmentation of texture is presented, which models the quantised image data as a set of independent spatial Poisson processes. Two data sets are examined, namely Gaussian white noise textures, and textures contained in a sidescan sonar image of the seabed. T...
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