Shervan Fekri Ershad
Orcid: 0000-0003-1226-7610
According to our database1,
Shervan Fekri Ershad
authored at least 30 papers
between 2011 and 2024.
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Bibliography
2024
Improve the efficiency of handcrafted features in image retrieval by adding selected feature generating layers of deep convolutional neural networks.
Signal Image Video Process., April, 2024
2023
Innovative local texture descriptor in joint of human-based color features for content-based image retrieval.
Signal Image Video Process., November, 2023
2022
Fabric defect detection based on completed local quartet patterns and majority decision algorithm.
Expert Syst. Appl., 2022
Cervical cancer diagnosis based on modified uniform local ternary patterns and feed forward multilayer network optimized by genetic algorithm.
Comput. Biol. Medicine, 2022
2021
Content based image retrieval based on weighted fusion of texture and color features derived from modified local binary patterns and local neighborhood difference patterns.
Multim. Tools Appl., 2021
Cell phenotype classification using multi threshold uniform local ternary patterns in fluorescence microscope images.
Multim. Tools Appl., 2021
2020
Detection of Lung Cancer Tumor in CT Scan Images Using Novel Combination of Super Pixel and Active Contour Algorithms.
Traitement du Signal, 2020
Bark texture classification using improved local ternary patterns and multilayer neural network.
Expert Syst. Appl., 2020
Developing a gender classification approach in human face images using modified local binary patterns and tani-moto based nearest neighbor algorithm.
CoRR, 2020
2019
Gender Classification in Human Face Images for Smart Phone Applications Based on Local Texture Information and Evaluated Kullback-Leibler Divergence.
Traitement du Signal, 2019
Pap smear classification using combination of global significant value, texture statistical features and time series features.
Multim. Tools Appl., 2019
Multim. Tools Appl., 2019
Content-based image retrieval based on combination of texture and colour information extracted in spatial and frequency domains.
Electron. Libr., 2019
Image retrieval approach based on local texture information derived from predefined patterns and spatial domain information.
CoRR, 2019
CoRR, 2019
Color Texture Classification Based on Proposed Impulse-Noise Resistant Color Local Binary Patterns and Significant Points Selection Algorithm.
CoRR, 2019
2018
Impulse noise reduction for texture images using real word spelling correction algorithm and local binary patterns.
Int. Arab J. Inf. Technol., 2018
Porosity Amount Estimation in Stones Based on Combination of One Dimensional Local Binary Patterns and Image Normalization Technique.
CoRR, 2018
Innovative Texture Database Collecting Approach and Feature Extraction Method based on Combination of Gray Tone Difference Matrixes, Local Binary Patterns, and K-means Clustering.
CoRR, 2018
2017
Impulse-Noise Resistant Color-Texture Classification Approach Using Hybrid Color Local Binary Patterns and Kullback-Leibler Divergence.
Comput. J., 2017
Multi-Resolution and Noise-Resistant Surface Defect Detection Approach Using New Version of Local Binary Patterns.
Appl. Artif. Intell., 2017
2015
Developing a novel approach for content based image retrieval using modified local binary patterns and morphological transform.
Int. Arab J. Inf. Technol., 2015
2013
CoRR, 2013
2012
CoRR, 2012
CoRR, 2012
Texture Classification Approach Based on Combination of Edge & Co-occurrence and Local Binary Pattern
CoRR, 2012
2011
Defect Detection Approach Based on Combination of Histogram Segmentation and Probabilistic Estimation Technique.
Int. J. Comput. Vis. Image Process., 2011
Color Texture Classification Approach Based on Combination of Primitive Pattern Units and Statistical Features
CoRR, 2011