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Shervan Fekri Ershad
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2020 – today
- 2024
- [j19]Sayed Yousef Monir Vaghefi, Faramarz Safi-Esfahani, Shervan Fekri Ershad, Sayed Mahmoud Monir Vaghefi:
From one-dimensional to multidimensional map neural networks. Appl. Soft Comput. 167: 112457 (2024) - [j18]Yaghoub Saberi
, Mohammadreza Ramezanpour
CBIR-ACHS: compressed domain content-based image retrieval through auto-correloblock in HEVC standard. Multim. Tools Appl. 83(30): 74123-74139 (2024) - [j17]Ghazal Shamsipour, Shervan Fekri Ershad
Improve the efficiency of handcrafted features in image retrieval by adding selected feature generating layers of deep convolutional neural networks. Signal Image Video Process. 18(3): 2607-2620 (2024) - 2023
- [j16]Morteza Karimian-kelishadrokhi
Innovative local texture descriptor in joint of human-based color features for content-based image retrieval. Signal Image Video Process. 17(8): 4009-4017 (2023) - 2022
- [j15]Shervan Fekri Ershad
Cervical cancer diagnosis based on modified uniform local ternary patterns and feed forward multilayer network optimized by genetic algorithm. Comput. Biol. Medicine 144: 105392 (2022) - [j14]Zahra Pourkaramdel, Shervan Fekri Ershad
Fabric defect detection based on completed local quartet patterns and majority decision algorithm. Expert Syst. Appl. 198: 116827 (2022) - 2021
- [j13]Shervan Fekri Ershad
Cell phenotype classification using multi threshold uniform local ternary patterns in fluorescence microscope images. Multim. Tools Appl. 80(8): 12103-12116 (2021) - [j12]Nasim Kayhan, Shervan Fekri Ershad
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. 80(21): 32763-32790 (2021) - 2020
- [j11]Shervan Fekri Ershad
Bark texture classification using improved local ternary patterns and multilayer neural network. Expert Syst. Appl. 158: 113509 (2020) - [j10]Farzaneh Shafiei, Shervan Fekri Ershad
Detection of Lung Cancer Tumor in CT Scan Images Using Novel Combination of Super Pixel and Active Contour Algorithms. Traitement du Signal 37(6): 1029-1035 (2020) - [i13]Shervan Fekri Ershad:
Developing a gender classification approach in human face images using modified local binary patterns and tani-moto based nearest neighbor algorithm. CoRR abs/2001.10966 (2020)
2010 – 2019
- 2019
- [j9]Neda Tadi Bani, Shervan Fekri Ershad
Content-based image retrieval based on combination of texture and colour information extracted in spatial and frequency domains. Electron. Libr. 37(4): 650-666 (2019) - [j8]Laleh Armi, Shervan Fekri Ershad
Texture image Classification based on improved local Quinary patterns. Multim. Tools Appl. 78(14): 18995-19018 (2019) - [j7]Shervan Fekri Ershad
Pap smear classification using combination of global significant value, texture statistical features and time series features. Multim. Tools Appl. 78(22): 31121-31136 (2019) - [j6]Shervan Fekri Ershad
Gender Classification in Human Face Images for Smart Phone Applications Based on Local Texture Information and Evaluated Kullback-Leibler Divergence. Traitement du Signal 36(6): 507-514 (2019) - [i12]Laleh Armi, Shervan Fekri Ershad
Texture image analysis and texture classification methods - A review. CoRR abs/1904.06554 (2019) - [i11]Shervan Fekri Ershad, Farshad Tajeripour:
Color Texture Classification Based on Proposed Impulse-Noise Resistant Color Local Binary Patterns and Significant Points Selection Algorithm. CoRR abs/1906.11010 (2019) - [i10]Shervan Fekri Ershad
A New Benchmark Dataset for Texture Image Analysis and Surface Defect Detection. CoRR abs/1906.11561 (2019) - [i9]Nazgol Hor, Shervan Fekri Ershad
Image retrieval approach based on local texture information derived from predefined patterns and spatial domain information. CoRR abs/1912.12978 (2019) - 2018
- [j5]Shervan Fekri Ershad, Seyed Mostafa Fakhrahmad, Farshad Tajeripour:
Impulse noise reduction for texture images using real word spelling correction algorithm and local binary patterns. Int. Arab J. Inf. Technol. 15(6): 1024-1030 (2018) - [i8]Shervan Fekri Ershad
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 abs/1803.04125 (2018) - [i7]Shervan Fekri Ershad
A Review on Image Texture Analysis Methods. CoRR abs/1804.00494 (2018) - [i6]Shervan Fekri Ershad
Porosity Amount Estimation in Stones Based on Combination of One Dimensional Local Binary Patterns and Image Normalization Technique. CoRR abs/1810.05922 (2018) - 2017
- [j4]Shervan Fekri Ershad
Multi-Resolution and Noise-Resistant Surface Defect Detection Approach Using New Version of Local Binary Patterns. Appl. Artif. Intell. 31(5-6): 395-410 (2017) - [j3]Shervan Fekri Ershad
Impulse-Noise Resistant Color-Texture Classification Approach Using Hybrid Color Local Binary Patterns and Kullback-Leibler Divergence. Comput. J. 60(11): 1633-1648 (2017) - 2015
- [j2]Farshad Tajeripour, Mohammad Saberi, Shervan Fekri Ershad:
Developing a novel approach for content based image retrieval using modified local binary patterns and morphological transform. Int. Arab J. Inf. Technol. 12(6): 574-581 (2015) - 2013
- [i5]Shervan Fekri Ershad, Hadi Tajalizadeh, Shahram Jafari:
Design and Development of an Expert System to Help Head of University Departments. CoRR abs/1308.0356 (2013) - 2012
- [i4]Shervan Fekri Ershad:
Texture Classification Approach Based on Combination of Edge & Co-occurrence and Local Binary Pattern. CoRR abs/1203.4855 (2012) - [i3]Shervan Fekri Ershad, Sattar Hashemi:
Dispelling Classes Gradually to Improve Quality of Feature Reduction Approaches. CoRR abs/1206.1458 (2012) - [i2]Shervan Fekri Ershad, Mohammad Saberi, Farshad Tajeripour:
An Innovative Skin Detection Approach Using Color Based Image Retrieval Technique. CoRR abs/1207.1551 (2012) - 2011
- [j1]Shervan Fekri Ershad
Defect Detection Approach Based on Combination of Histogram Segmentation and Probabilistic Estimation Technique. Int. J. Comput. Vis. Image Process. 1(4): 19-26 (2011) - [i1]Shervan Fekri Ershad:
Color Texture Classification Approach Based on Combination of Primitive Pattern Units and Statistical Features. CoRR abs/1109.1133 (2011)
Coauthor Index
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last updated on 2024-12-01 01:12 CET by the dblp team
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