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
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Factorial Markov Random Fields [PDF]
, 2002 In this paper we propose an extension to the standard Markov Random Field (MRF) model in order to handle layers. Our extension, which we call a Factorial MRF (FMRF), is analogous to the extension from Hidden Markov Models (HMM's) to Factorial HMM's. We present an efficient EM-based algorithm for inference on Factorial MRF's.
Junhwan Kim, Ramin Zabih
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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
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Thermodynamics of the Binary Symmetric Channel [PDF]
, 2015 We study a hidden Markov process which is the result of a transmission of the binary symmetric Markov source over the memoryless binary symmetric channel.
Verbitskiy, Evgeny
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Robust Regression-Based Markov Random Field for Hyperspectral Image Classification
IEEE Access, 2019 Recently, regression-based classifiers, such as the sparse representation classifier and collaborative representation classifier, have been proposed for hyperspectral image (HSI) classification.
Tianming Zhan +6 more
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Segmentasi Citra Kanker Serviks Menggunakan Markov Random Field dan Algoritma K-Means
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021 Cervical cancer is a dangerous disease caused by malignant tumors that grow on the cervix and has globally attacked many women. Pap smear test is one of the early prevention efforts for cervical cancer. Medical personnel often have difficulty identifying
Raihana Salsabila Darma Wijaya +3 more
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SAR IMAGE CHANGE DETECTION BASED ON FUZZY MARKOV RANDOM FIELD MODEL [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Most existing SAR image change detection algorithms only consider single pixel information of different images, and not consider the spatial dependencies of image pixels.
J. Zhao, G. Huang, Z. Zhao
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Fuzzy Active Contour Model With Markov Random Field for Change Detection
IEEE Access, 2022 The traditional active contour models are sensitive to the speckle noise in the synthetic aperture radar (SAR) images. In this paper, the Markov random field (MRF) theory is incorporated into the fuzzy active contour model to detect the changes of ...
Fei Xie +5 more
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Adaptive Gaussian Markov Random Fields with Applications in Human Brain Mapping [PDF]
, 2005 Functional magnetic resonance imaging (fMRI) has become the standard technology in human brain mapping. Analyses of the massive spatio-temporal fMRI data sets often focus on parametric or nonparametric modeling of the temporal component, while spatial ...
Brezger, Andreas +2 more
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Saliency Map Estimation Using a Pixel-Pairwise-Based Unsupervised Markov Random Field Model
Mathematics, 2023 This work presents a Bayesian statistical approach to the saliency map estimation problem. More specifically, we formalize the saliency map estimation issue in the fully automatic Markovian framework.
Max Mignotte
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