Color Texture Classification Approach Based on Combination of Primitive Pattern Units and Statistical Features - Shervan Fekri Ershad (CoRR, 2011)

Defect Detection Approach Based on Combination of Histogram Segmentation and Probabilistic Estimation Technique. - Shervan Fekri Ershad (Int. J. Comput. Vis. Image Process., 2011)

Texture Classification Approach Based on Combination of Edge & Co-occurrence and Local Binary Pattern - Shervan Fekri Ershad (CoRR, 2012)

Dispelling Classes Gradually to Improve Quality of Feature Reduction Approaches - Shervan Fekri Ershad; Sattar Hashemi (CoRR, 2012)

An Innovative Skin Detection Approach Using Color Based Image Retrieval Technique - Shervan Fekri Ershad; Mohammad Saberi; Farshad Tajeripour (CoRR, 2012)

Design and Development of an Expert System to Help Head of University Departments. - Shervan Fekri Ershad; Hadi Tajalizadeh; Shahram Jafari (CoRR, 2013)

Developing a novel approach for content based image retrieval using modified local binary patterns and morphological transform. - Farshad Tajeripour; Mohammad Saberi; Shervan Fekri Ershad (Int. Arab J. Inf. Technol., 2015)

Multi-Resolution and Noise-Resistant Surface Defect Detection Approach Using New Version of Local Binary Patterns. - Shervan Fekri Ershad; Farshad Tajeripour (Appl. Artif. Intell., 2017)

Impulse-Noise Resistant Color-Texture Classification Approach Using Hybrid Color Local Binary Patterns and Kullback-Leibler Divergence. - Shervan Fekri Ershad; Farshad Tajeripour (Comput. J., 2017)

Innovative Texture Database Collecting Approach and Feature Extraction Method based on Combination of Gray Tone Difference Matrixes, Local Binary Patterns, and K-means Clustering. - Shervan Fekri Ershad (CoRR, 2018)

A Review on Image Texture Analysis Methods. - Shervan Fekri Ershad (CoRR, 2018)

Porosity Amount Estimation in Stones Based on Combination of One Dimensional Local Binary Patterns and Image Normalization Technique. - Shervan Fekri Ershad (CoRR, 2018)

Impulse noise reduction for texture images using real word spelling correction algorithm and local binary patterns. - Shervan Fekri Ershad; Seyed Mostafa Fakhrahmad; Farshad Tajeripour (Int. Arab J. Inf. Technol., 2018)

Texture image analysis and texture classification methods - A review. - Laleh Armi; Shervan Fekri Ershad (CoRR, 2019)

Color Texture Classification Based on Proposed Impulse-Noise Resistant Color Local Binary Patterns and Significant Points Selection Algorithm. - Shervan Fekri Ershad; Farshad Tajeripour (CoRR, 2019)

A New Benchmark Dataset for Texture Image Analysis and Surface Defect Detection. - Shervan Fekri Ershad (CoRR, 2019)

Image retrieval approach based on local texture information derived from predefined patterns and spatial domain information. - Nazgol Hor; Shervan Fekri Ershad (CoRR, 2019)

Content-based image retrieval based on combination of texture and colour information extracted in spatial and frequency domains. - Neda Tadi Bani; Shervan Fekri Ershad (Electron. Libr., 2019)

Texture image Classification based on improved local Quinary patterns. - Laleh Armi; Shervan Fekri Ershad (Multim. Tools Appl., 2019)

Pap smear classification using combination of global significant value, texture statistical features and time series features. - Shervan Fekri Ershad (Multim. Tools Appl., 2019)

Gender Classification in Human Face Images for Smart Phone Applications Based on Local Texture Information and Evaluated Kullback-Leibler Divergence. - Shervan Fekri Ershad (Traitement du Signal, 2019)

Developing a gender classification approach in human face images using modified local binary patterns and tani-moto based nearest neighbor algorithm. - Shervan Fekri Ershad (CoRR, 2020)

Bark texture classification using improved local ternary patterns and multilayer neural network. - Shervan Fekri Ershad (Expert Syst. Appl., 2020)

Detection of Lung Cancer Tumor in CT Scan Images Using Novel Combination of Super Pixel and Active Contour Algorithms. - Farzaneh Shafiei; Shervan Fekri Ershad (Traitement du Signal, 2020)

Cell phenotype classification using multi threshold uniform local ternary patterns in fluorescence microscope images. - Shervan Fekri Ershad (Multim. Tools Appl., 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. - Nasim Kayhan; Shervan Fekri Ershad (Multim. Tools Appl., 2021)

Cervical cancer diagnosis based on modified uniform local ternary patterns and feed forward multilayer network optimized by genetic algorithm. - Shervan Fekri Ershad; S. Ramakrishnan 004 (Comput. Biol. Medicine, 2022)

Fabric defect detection based on completed local quartet patterns and majority decision algorithm. - Zahra Pourkaramdel; Shervan Fekri Ershad; Loris Nanni (Expert Syst. Appl., 2022)

Innovative local texture descriptor in joint of human-based color features for content-based image retrieval. - Morteza Karimian-kelishadrokhi; Mohammad Ghattaei; Shervan Fekri Ershad (Signal Image Video Process., 2023)

From one-dimensional to multidimensional map neural networks. - Sayed Yousef Monir Vaghefi; Faramarz Safi-Esfahani; Shervan Fekri Ershad; Sayed Mahmoud Monir Vaghefi (Appl. Soft Comput., 2024)

Improve the efficiency of handcrafted features in image retrieval by adding selected feature generating layers of deep convolutional neural networks. - Ghazal Shamsipour; Shervan Fekri Ershad; Mahdi Sharifi; Alireza Alaei (Signal Image Video Process., 2024)

CBIR-ACHS: compressed domain content-based image retrieval through auto-correloblock in HEVC standard. - Yaghoub Saberi; Mohammadreza Ramezanpour; Shervan Fekri Ershad; Behrang Barekatain (Multim. Tools Appl., 2024)