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Asst. Prof. Shervan Fekri-Ershad from Islamic Azad University, najafabad, Iran

Research Area:

Artificial Intelligence

Research Experience:

1. Shervan Fekri-Ershad, Seyed Mustafa Fakhrahmad, Farshad Tajeripour, "Impulse Noise
Reduction for Texture Images Using Real Word Spelling Correction Algorithm and Local Binary
Patterns", The International Arab Journal of Information Technology, Vo. 15, No. 6, pp.1024-
1030, 2018. (ISI-WoS)
2. Shervan Fekri-Ershad, Farshad Tajeripour, "Color Texture Classification Based on Proposed
Impulse-noise Resistant Color Local Binary Patterns and Significant Points Selection", Sensor
Review, Vol. 37, No. 1, pp. 33-42, January 2017. (ISI-WoS)
3. Shervan Fekri-Ershad, Farshad Tajeripour, "Multi-Resolution and Noise-Resistant Surface Defect
Detection Approach Using New Version of Local Binary Patterns", Applied Artificial
Intelligence An International Journal, Vol. 31, No. 5-6, pp. 395-410, 2017 (ISI-WoS)
4. Shervan Fekri-Ershad, Farshad Tajeripour," Impulse-Noise Resistant Color-Texture
Classification Approach Using Hybrid Color Local Binary Patterns and Kullback–Leibler
Divergence", The Computer Journal, Vol. 60, No. 11, pp. 1633-1648, 2017 (ISI-WoS)
5. Farshad Tajeripour, Mohammad Saberi, Shervan Fekri-Ershad, "Developing a Novel Approach
For Content Based Image Retrieval Using Modified Local Binary Patterns and Morphological
Transform", International Arab Journal of Information Technology(IAJIT), Vol. 12, No. 6, pp.
574-581, November 2015, (ISI-Wos)
6. Shervan Fekri-Ershad, Farshad Tajeripour "Developing a Novel Approach For Stone Porosity
Detection Using Modified Local Binary Patterns and Single Scale Retinex", Arabian Journal for
Science and Engineering (AJSE), Vol. 39, No. 2, pp. 875-889, 2014, (ISI-WoS)
etc.