| Texture image analysis and texture classification methods-a review L Armi, S Fekri-Ershad arXiv preprint arXiv:1904.06554., 2019 | 292 | 2019 |
| Bark texture classification using improved local ternary patterns and multilayer neural network S Fekri-Ershad Expert Systems with Applications 158, 113509, 2020 | 77 | 2020 |
| 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 | 64 | 2021 |
| 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 | 55 | 2019 |
| Texture classification approach based on combination of edge & co-occurrence and local binary pattern S Fekri Ershad arXiv preprint arXiv:1203.4855, 2012 | 54 | 2012 |
| 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 | 53 | 2022 |
| 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 | 53 | 2019 |
| 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 | 51 | 2017 |
| 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 | 50 | 2013 |
| Color texture classification approach based on combination of primitive pattern units and statistical features SF Ershad arXiv preprint arXiv:1109.1133, 2011 | 50 | 2011 |
| Texture image Classification based on improved local Quinary patterns L Armi, S Fekri-Ershad Multimedia Tools and Applications 78 (14), 18995-19018, 2019 | 49 | 2019 |
| 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 | 48 | 2014 |
| 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 | 47 | 2022 |
| 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 | 47 | 2017 |
| 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 | 40 | 2019 |
| 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 | 38 | 2020 |
| 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 | 38 | 2015 |
| 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 | 34 | 2019 |
| 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 | 34 | 2012 |
| Impulse-noise resistant color-texture classification approach using hybrid color local binary patterns and Kullback–Leibler divergence S Fekri-Ershad, F Tajeripour The Computer Journal 60 (11), 1633-1648, 2017 | 33 | 2017 |
Laleh ArmiKashan University, Ph.D. CandidatesVerified email at grad.kashanu.ac.ir
