Results 31 to 40 of about 33,048 (289)
Journal of Engineering, 2014 A number of techniques have been proposed earlier for feature extraction using image binarization. Efficiency of the techniques was dependent on proper threshold selection for the binarization method.
Sudeep Thepade, Rik Das, Saurav Ghosh
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Rotation-invariant binary representation of sensor pattern noise for source-oriented image and video clustering [PDF]
, 2018 Most existing source-oriented image and video clustering algorithms based on sensor pattern noise (SPN) rely on the pairwise similarities, whose calculation usually dominates the overall computational time.
Li, Chang-Tsun, Lin, Xufeng
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Region-adaptive probability model selection for the arithmetic coding of video texture [PDF]
, 2011 In video coding systems using adaptive arithmetic coding to compress texture information, the employed symbol probability models need to be retrained every time the coding process moves into an area with different texture.
Barbarien, Joeri +3 more
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ON THE AGE AND BINARITY OF FOMALHAUT [PDF]
The Astrophysical Journal, 2012 The nearby (d = 7.7 pc) A3V star Fomalhaut is orbited by a resolved dusty debris disk and a controversial candidate extrasolar planet. The commonly cited age for the system (200+-100 Myr) from Barrado y Navascues et al. (1997) relied on a combination of isochronal age plus youth indicators for the K4V common proper motion system TW PsA.
openaire +2 more sources
A workflow for the automatic segmentation of organelles in electron microscopy image stacks. [PDF]
, 2014 Electron microscopy (EM) facilitates analysis of the form, distribution, and functional status of key organelle systems in various pathological processes, including those associated with neurodegenerative disease. Such EM data often provide important new
Bushong, Eric A +6 more
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Enhancement of Image Resolution by Binarization
, 2011 Image segmentation is one of the principal approaches of image processing. The choice of the most appropriate Binarization algorithm for each case proved to be a very interesting procedure itself.
Kanrar, Soumen, Mukherjee, Aroop
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MathematicsChaotic maps are sources of randomness formed by a set of rules and chaotic variables. They have been incorporated into metaheuristics because they improve the balance of exploration and exploitation, and with this, they allow one to obtain better ...
Felipe Cisternas-Caneo +5 more
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Document Image Binarization with Fully Convolutional Neural Networks
, 2017 Binarization of degraded historical manuscript images is an important pre-processing step for many document processing tasks. We formulate binarization as a pixel classification learning task and apply a novel Fully Convolutional Network (FCN ...
Martinez, Tony, Tensmeyer, Chris
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Training a Binary Weight Object Detector by Knowledge Transfer for Autonomous Driving [PDF]
, 2019 Autonomous driving has harsh requirements of small model size and energy efficiency, in order to enable the embedded system to achieve real-time on-board object detection.
López, Antonio M. +3 more
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Binary Biometrics: An Analytic Framework to Estimate the Bit Error Probability under Gaussian Assumption [PDF]
, 2008 In recent years the protection of biometric data has gained increased interest from the scientific community. Methods such as the helper data system, fuzzy extractors, fuzzy vault and cancellable biometrics have been proposed for protecting biometric ...
Jonker, W. +4 more
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