2014
DOI: 10.1049/iet-ipr.2013.0356
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Unsupervised evaluation method using Markov random field for moving object segmentation in infrared videos

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Cited by 2 publications
(1 citation statement)
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“…In recent studies, more image characteristics have been explored to describe homogeneity or heterogeneity. In [10], the Markov random field model is introduced to measure the contrast between the interior and the exterior of the edge of a segmentation. In [11], the spatial autocorrelation metric, Moran's I, was employed to measure inter-segment goodness.…”
Section: Related Workmentioning
confidence: 99%
“…In recent studies, more image characteristics have been explored to describe homogeneity or heterogeneity. In [10], the Markov random field model is introduced to measure the contrast between the interior and the exterior of the edge of a segmentation. In [11], the spatial autocorrelation metric, Moran's I, was employed to measure inter-segment goodness.…”
Section: Related Workmentioning
confidence: 99%