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Hybrid Method for Contrast Enhancement of Industrial Videoscope Images
Oral Presentation , Page 6-9 (4)
Volume Title: 2nd IEEE International Conference on Electronic Eng., Faculty of Electronic Eng., Menouf, Egypt, 3-4 July. 2021
Authors
1Reda sayedahmed ammar 
; 2Fathi Abd El-SAmie; 3walid elshafee; 4noha elhag; 5Atef Elsayed Abou Elazm; 6amir salah; 7sahar abu; 8ghada banby; 9ashraf khalaf
; 2Fathi Abd El-SAmie; 3walid elshafee; 4noha elhag; 5Atef Elsayed Abou Elazm; 6amir salah; 7sahar abu; 8ghada banby; 9ashraf khalaf
1Department of Electronics and Electrical Communications Engineering
Faculty of Electronic Engineering Menoufia University: Menouf, Egypt
2Minufia- Egypt
3Fathi E. Abd El-Samie Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University
4Department of Electronics and Electrical Communications Engineering Faculty of Engineering, Minia University, Egypt
5Communication, faculty of electronic eng., menoufia university
6Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University: Menouf, Egypt
7Department of Electronics and Electrical Communications Engineering Faculty of Engineering, Minia University, Egypt
8Department of Industrial electronics and control engineering Engineering Faculty of Electronic Engineering Menoufia University: Menouf, Egypt
9Dept. of Electronics and Electrical Communication, Faculty of Engineering, Minia University, Egypt
Abstract
Pre-processing is a required step for image enhancement. Videoscope image enhancement is a difficult research area as the captured images suffer from noise and poor contrast. Contrast enhancement is very important in videoscope images enhancement as it improves the quality of the image. Contrast image enhancement techniques include histogram equalization, fuzzy technique, Contrast Limited Adaptive Histogram Equalization (CLAHE), and histogram matching. These techniques are applied to improve the quality of the videoscope images. The hybrid method that contains CLAHE and fuzzy technique achieves higher results. Simulation results achieve a superior performance with higher image quality, higher evaluation metrics values, and much more details in images.
Keywords