Results 11 to 20 of about 256,437 (324)
A Markov random field image segmentation model for lizard spots
Revista Facultad de Ingeniería Universidad de Antioquia, 2016 Animal identification as a method for fauna study and conservation can be implemented using phenotypic appearance features such as spots, stripes or morphology. This procedure has the advantage that it does not harm study subjects.
Alexander Gómez-Villa +2 more
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Random Fields in Physics, Biology and Data Science
Frontiers in Physics, 2021 A random field is the representation of the joint probability distribution for a set of random variables. Markov fields, in particular, have a long standing tradition as the theoretical foundation of many applications in statistical physics and ...
Enrique Hernández-Lemus +1 more
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Light Pollution Index System Model Based on Markov Random Field
Mathematics, 2023 Light pollution is one of the environmental pollution problems facing the world. The research on the measurement standard of light pollution is not perfect at present.
Liangkun Fang +3 more
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Lane Line Identification and Research Based on Markov Random Field
World Electric Vehicle Journal, 2022 In view of the poor robustness and low accuracy in lane line identification based on digital image processing, this paper proposes a Markov random field intelligent algorithm based on machine learning to identify lane lines.
Fang Ding, Aiguo Wang, Qianbin Zhang
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Image Haze Removal Based on Superpixels and Markov Random Field
IEEE Access, 2020 Image haze removal is critical for autonomous driving. However, it is a challenging task for the existing image dehazing algorithms to eliminate the block effect completely and handle objects similar to light (such as snowy objects and white buildings ...
Yibo Tan, Guoyu Wang
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Remote Sensing, 2021 In this paper, a hierarchical probabilistic graphical model is proposed to tackle joint classification of multiresolution and multisensor remote sensing images of the same scene.
Martina Pastorino +6 more
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Dim and Small Target Detection Based on Gaussian Markov Random Field Motion Direction Estimation
IEEE Access, 2022 To improve the detection of dim and small targets in low signal-to-noise ratio (SNR < 3dB) scenarios, energy accumulation along the estimated direction by estimating the direction of the target’s motion at different moments is a proven ...
Lei Min +4 more
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Combinatorial Markov Random Fields [PDF]
, 2006 A combinatorial random variable is a discrete random variable defined over a combinatorial set (e.g., a power set of a given set). In this paper we introduce combinatorial Markov random fields (Comrafs), which are Markov random fields where some of the nodes are combinatorial random variables.
Bekkerman, R +2 more
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Bottleneck Potentials in Markov Random Fields [PDF]
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 We consider general discrete Markov Random Fields(MRFs) with additional bottleneck potentials which penalize the maximum (instead of the sum) over local potential value taken by the MRF-assignment. Bottleneck potentials or analogous constructions have been considered in (i) combinatorial optimization (e.g.
Ahmed Abbas, Paul Swoboda
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One-dimensional Markov random fields, Markov chains and topological Markov fields [PDF]
Proceedings of the American Mathematical Society, 2013 15 ...
Marcus, B +4 more
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