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Shervan Fekri-Ershad
Shervan Fekri-Ershad
其他姓名Shervan Fekriershad
Faculty of Computer Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
在 pco.iaun.ac.ir 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Texture image analysis and texture classification methods-a review
L Armi, S Fekri-Ershad
arXiv preprint arXiv:1904.06554., 2019
2992019
Bark texture classification using improved local ternary patterns and multilayer neural network
S Fekri-Ershad
Expert Systems with Applications 158, 113509, 2020
782020
Content based image retrieval based on weighted fusion of texture and color features derived from modified local binary patterns and local neighborhood difference patterns
N Kayhan, S Fekri-Ershad
Multimedia Tools and Applications 80 (21), 32763-32790, 2021
692021
Content-based image retrieval based on combination of texture and colour information extracted in spatial and frequency domains
N Tadi Bani, S Fekri-Ershad
The electronic library 37 (4), 650-666, 2019
582019
Fabric defect detection based on completed local quartet patterns and majority decision algorithm
Z Pourkaramdel, S Fekri-Ershad, L Nanni
Expert Systems with Applications 198, 116827, 2022
562022
Pap smear classification using combination of global significant value, texture statistical features and time series features
S Fekri-Ershad
Multimedia Tools and Applications 78 (22), 31121-31136, 2019
562019
Texture classification approach based on combination of edge & co-occurrence and local binary pattern
S Fekri Ershad
arXiv preprint arXiv:1203.4855, 2012
532012
Cervical cancer diagnosis based on modified uniform local ternary patterns and feed forward multilayer network optimized by genetic algorithm
S Fekri-Ershad, S Ramakrishnan
Computers in Biology and Medicine 144, 105392, 2022
512022
Can permeable super oxide dismutase mimetic agents improve the quality of frozen–thawed ram semen?
M Forouzanfar, SF Ershad, SM Hosseini, M Hajian, S Ostad-Hosseini, ...
Cryobiology 66 (2), 126-130, 2013
512013
Texture image Classification based on improved local Quinary patterns
L Armi, S Fekri-Ershad
Multimedia Tools and Applications 78 (14), 18995-19018, 2019
502019
Color texture classification based on proposed impulse-noise resistant color local binary patterns and significant points selection algorithm
S Fekriershad, F Tajeripour
Sensor Review 37 (1), 33-42, 2017
502017
Color texture classification approach based on combination of primitive pattern units and statistical features
SF Ershad
arXiv preprint arXiv:1109.1133, 2011
502011
Developing a novel approach for stone porosity computing using modified local binary patterns and single scale retinex
FES T. Farshad
Arabian Journal for Science and Engineering 39 (2), 875-889, 2014
492014
Multi-Resolution and Noise- Resistant Surface Defect Detection Approach Using New Version of Local Binary Patterns
TF F. E. Shervan
Applied Artificial Intelligence 31 (5-6), 395-410, 2017
472017
Gender classification in human face images for smart phone applications based on local texture information and evaluated Kullback-Leibler divergence
S Fekri-Ershad
Traitement du Signal 36 (6), 507-514, 2019
422019
Detection of Lung Cancer Tumor in CT Scan Images Using Novel Combination of Super Pixel and Active Contour Algorithms Detection of Lung Cancer Tumor in CT Scan Images Using …
F Shafiei, S Fekri-Ershad
Traitement du Signal 37 (6), 1029-1035, 2020
392020
Developing a novel approach for content based image retrieval using modified local binary patterns and morphological transform.
F Tajeripour, M Saberi, SF Ershad
Int. Arab J. Inf. Technol. 12 (6), 574-581, 2015
392015
Developing a tuned three-layer perceptron fed with trained deep convolutional neural networks for cervical cancer diagnosis
S Fekri-Ershad, MF Alsaffar
Diagnostics 13 (4), 686, 2023
362023
Image retrieval approach based on local texture information derived from predefined patterns and spatial domain information
N Hor, S Fekri-Ershad
arXiv preprint arXiv:1912.12978, 2019
342019
A robust approach for surface defect detection based on one dimensional local binary patterns
S Fekri-Ershad, F Tajeripour
Indian Journal of Science and Technology 5 (8), 3197-3203, 2012
342012
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