Results 11 to 20 of about 251,998 (281)
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +3 more sources
Uncertainty Quantification for Markov Random Fields [PDF]
SIAM/ASA Journal on Uncertainty Quantification, 2021 We present an information-based uncertainty quantification method for general Markov Random Fields. Markov Random Fields (MRF) are structured, probabilistic graphical models over undirected graphs, and provide a fundamental unifying modeling tool for statistical mechanics, probabilistic machine learning, and artificial intelligence.
Panagiota Birmpa, Markos A. Katsoulakis
openaire +2 more sources
The Annals of Applied Probability, 1995 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kunsch, Hans +2 more
openaire +3 more sources
Detection Of Road For Landing Of Aircraft In An Unfamiliar Environment: A Comparative Study
JISR on Computing, 2018 This paper is a comparative study about detecting straight road from satellite images. There are multiple applications of road detection. Here, only straight road is considered for use as a landing strip for aircraft emergency landing.
Ali Mobin Memon, Imran Amin
doaj +1 more source
De-Fencing and Multi-Focus Fusion Using Markov Random Field and Image Inpainting
IEEE Access, 2022 Multi-focus image fusion aims at combining source information from differently focused images. Fusion of multi-focus images has great applications in machine vision. The paper focuses on removal of fence occlusions in multi-focus images.
Hannan Adeel +2 more
doaj +1 more source