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In this paper, a new enhanced CRF for discriminating between different materials in natural scenes using terrestrial multi spectral imaging is established. Most of the existing formulations of the CRF often suffer from over smoothing and loss of small detail, thereby deteriorating the information from the underlying unary classifier in areas with a high spatial frequency. This work specifically addresses...
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