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Bark texture classification using improved local ternary patterns and multilayer neural network

Expert systems with applications, 2020-11, Vol.158, p.113509, Article 113509

Fekri-Ershad, Shervan

2020

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Content based image retrieval based on weighted fusion of texture and color features derived from modified local binary patterns and local neighborhood difference patterns

Multimedia tools and applications, 2021-09, Vol.80 (21-23), p.32763-32790

2021

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Pap smear classification using combination of global significant value, texture statistical features and time series features

Multimedia tools and applications, 2019-11, Vol.78 (22), p.31121-31136

Fekri-Ershad, Shervan

2019

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Cell phenotype classification using multi threshold uniform local ternary patterns in fluorescence microscope images

Multimedia tools and applications, 2021-03, Vol.80 (8), p.12103-12116

Fekri-Ershad, Shervan

2021

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Texture image Classification based on improved local Quinary patterns

Multimedia tools and applications, 2019-07, Vol.78 (14), p.18995-19018

2019

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Innovative local texture descriptor in joint of human-based color features for content-based image retrieval

Signal, image and video processing, 2023-11, Vol.17 (8), p.4009-4017

2023

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Multi-Resolution and Noise-Resistant Surface Defect Detection Approach Using New Version of Local Binary Patterns

Applied artificial intelligence, 2017-07, Vol.31 (5-6), p.395-410

2017

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Developing a Tuned Three-Layer Perceptron Fed with Trained Deep Convolutional Neural Networks for Cervical Cancer Diagnosis

Diagnostics (Basel), 2023-02, Vol.13 (4), p.686

2023

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Improve the efficiency of handcrafted features in image retrieval by adding selected feature generating layers of deep convolutional neural networks

Signal, image and video processing, 2024-04, Vol.18 (3), p.2607-2620

2024

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Fabric defect detection based on completed local quartet patterns and majority decision algorithm

Expert systems with applications, 2022-07, Vol.198, p.116827, Article 116827

2022

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Cervical cancer diagnosis based on modified uniform local ternary patterns and feed forward multilayer network optimized by genetic algorithm

Computers in biology and medicine, 2022-05, Vol.144, p.105392-105392, Article 105392

2022

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Developing a novel approach for content based image retrieval using modified local binary patterns and morphological transform

International arab journal of information technology, 2015-11, Vol.12 (6)

2015

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Gender Classification in Human Face Images for Smart Phone Applications Based on Local Texture Information and Evaluated Kullback-Leibler Divergence

Traitement du signal, 2019-12, Vol.36 (6), p.507-514

Fekri-Ershad, Shervan

2019

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An Innovative Skin Detection Approach Using Color Based Image Retrieval Technique

International journal of multimedia & its applications, 2012-06, Vol.4 (3), p.57-65

Fekri Ershad, Shervan

2012

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Detection of Lung Cancer Tumor in CT Scan Images Using Novel Combination of Super Pixel and Active Contour Algorithms

Traitement du signal, 2020-12, Vol.37 (6), p.1029-1035

2020

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Color Texture Classification Approach Based on Combination of Primitive Pattern Units and Statistical Features

International journal of multimedia & its applications, 2011-08, Vol.3 (3), p.1-13

Fekri Ershad, Shervan

2011

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Impulse-Noise Resistant Color-Texture Classification Approach Using Hybrid Color Local Binary Patterns and Kullback–Leibler Divergence

Computer journal, 2017-11, Vol.60 (11), p.1633-1648

2017

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Diagnosis of COVID-19 Disease in Chest CT-Scan Images Based on Combination of Low-Level Texture Analysis and MobileNetV2 Features

Computational intelligence and neuroscience, 2022-11, Vol.2022, p.1658615-13

2022

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Assessing Relations Among Visual Variables in Hotel Lobbies Using Deep Learning

Interiority, 2024-07, Vol.7 (2)

2024

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CBIR-ACHS: compressed domain content-based image retrieval through auto-correloblock in HEVC standard

Multimedia tools and applications, 2024-02, Vol.83 (30), p.74123-74139

2024

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Content-based image retrieval based on combination of texture and colour information extracted in spatial and frequency domains

Electronic library, 2019-09, Vol.37 (4), p.650-666

2019

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Developing a Novel Approach for Stone Porosity Computing Using Modified Local Binary Patterns and Single Scale Retinex

Arabian Journal for Science and Engineering, 2014-02, Vol.39 (2), p.875-889

2014

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Cell Phenotype Classification Based on Joint of Texture Information and Multilayer Feature Extraction in DenseNet

Computational intelligence and neuroscience, 2022-11, Vol.2022, p.6895833-12

2022

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Impulse noise reduction for texture images using real word spelling correction algorithm and local binary patterns

International arab journal of information technology, 2018-11, Vol.15 (6)

2018

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A robust approach for surface defect detection based on one dimensional local binary patterns

Indian journal of science and technology, 2012-08, Vol.5 (8), p.1-7

Fekri-Ershad, Shervan

2012

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Bark texture classification using improved local ternary patterns and multilayer neural network

Content based image retrieval based on weighted fusion of texture and color features derived from modified local binary patterns and local neighborhood difference patterns

Pap smear classification using combination of global significant value, texture statistical features and time series features

Cell phenotype classification using multi threshold uniform local ternary patterns in fluorescence microscope images

Texture image Classification based on improved local Quinary patterns

Innovative local texture descriptor in joint of human-based color features for content-based image retrieval

Multi-Resolution and Noise-Resistant Surface Defect Detection Approach Using New Version of Local Binary Patterns

Developing a Tuned Three-Layer Perceptron Fed with Trained Deep Convolutional Neural Networks for Cervical Cancer Diagnosis

Improve the efficiency of handcrafted features in image retrieval by adding selected feature generating layers of deep convolutional neural networks

Fabric defect detection based on completed local quartet patterns and majority decision algorithm

Cervical cancer diagnosis based on modified uniform local ternary patterns and feed forward multilayer network optimized by genetic algorithm

Developing a novel approach for content based image retrieval using modified local binary patterns and morphological transform

Gender Classification in Human Face Images for Smart Phone Applications Based on Local Texture Information and Evaluated Kullback-Leibler Divergence

An Innovative Skin Detection Approach Using Color Based Image Retrieval Technique

Detection of Lung Cancer Tumor in CT Scan Images Using Novel Combination of Super Pixel and Active Contour Algorithms

Color Texture Classification Approach Based on Combination of Primitive Pattern Units and Statistical Features

Impulse-Noise Resistant Color-Texture Classification Approach Using Hybrid Color Local Binary Patterns and Kullback–Leibler Divergence

Diagnosis of COVID-19 Disease in Chest CT-Scan Images Based on Combination of Low-Level Texture Analysis and MobileNetV2 Features

Assessing Relations Among Visual Variables in Hotel Lobbies Using Deep Learning

CBIR-ACHS: compressed domain content-based image retrieval through auto-correloblock in HEVC standard

Content-based image retrieval based on combination of texture and colour information extracted in spatial and frequency domains

Developing a Novel Approach for Stone Porosity Computing Using Modified Local Binary Patterns and Single Scale Retinex

Cell Phenotype Classification Based on Joint of Texture Information and Multilayer Feature Extraction in DenseNet

Impulse noise reduction for texture images using real word spelling correction algorithm and local binary patterns

A robust approach for surface defect detection based on one dimensional local binary patterns

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