Results 31 to 40 of about 151,882 (297)
Analysing Micro- and Macro-Structures in Textures [PDF]
, 2012 Analysing micro- and macro-structures within images confers ability to include scale in texture analysis. Filtering allows for selection of texture structures at different scales, revealing the micro- and macro-structures which would otherwise be ...
Waller, Ben M. +5 more
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Fabric Defect Detection Using Modified Local Binary Patterns
EURASIP Journal on Advances in Signal Processing, 2008 Local binary patterns (LBPs) are one of the features which have been used for texture classification. In this paper, a method based on using these features is proposed for fabric defect detection.
A. Sheikhi, E. Kabir, F. Tajeripour
doaj +1 more source
Selecting Discriminative Binary Patterns for a Local Feature
Cybernetics and Information Technologies, 2015 The local descriptors based on a binary pattern feature have state-of-the-art distinctiveness. However, their high dimensionality resists them from matching faster and being used in a low-end device.
Li Yingying, Tan Jieqing, Zhong Jinqin
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Heterogeneity-Aware Local Binary Patterns for Retrieval of Histopathology Images
IEEE Access, 2019 Histopathology images exhibit considerable variability, which can make diagnosis prone to uncertainty and errors. Using retrieval systems to locate similar images when a query image is given can assist pathologists in making more reliable decisions when ...
Hamed Erfankhah +3 more
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Demographic Classification with Local Binary Patterns [PDF]
, 2007 LBP (Local Binary Pattern) as an image operator is used to extract LBPH (LBP histogram) features for texture description. In this paper, we present a novel method to use LBPH feature in ordinary binary classification problem. Given a restricted local patch, the Chi square distance between the extracted LBPH and a reference histogram is used as a ...
Zhiguang Yang, Haizhou Ai
openaire +1 more source
Colour texture segmentation using evidence gathering [PDF]
, 2012 A new approach to colour-texture segmentation is presented which uses Local Binary Pattern data and a new colour quantisation scheme based on hue and saturation to provide evidence from which pixels can be classified into texture classes.
B.M. Waller +5 more
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Automated EEG signal classification using chaotic local binary pattern
, 2021 Background Electroencephalography (EEG) signals are the electrical signals which depicts the brain's neuronal activities. The EEG signals inherently have nondeterministic patterns.
Acharya, U. Rajendra +2 more
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A Speech Emotion Recognition Model Based on Multi-Level Local Binary and Local Ternary Patterns
IEEE Access, 2020 Interpreting a speech signal is quite challenging because it consists of different frequencies and features that vary according to emotions. Although different algorithms are being developed in the speech emotion recognition (SER) domain, the success ...
Yesim Ulgen Sonmez, Asaf Varol
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Системный анализ и прикладная информатика, 2022 This article describes the software implementation of the system for extracting and evaluating information features from 2D images of bone fractures and bone objects for classifying fractures and identifying the alleged instrument that caused the injury.
A. A. Doudkin +5 more
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Automatic identification of wildlife using local binary patterns
, 2012 Recognition of individuals is necessary for accurate estimation of wildlife population dynamics for effective management and conservation. Identifying individual wildlife by their distinctive body marks is one of the least invasive methods available ...
Azhar, H. +8 more
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