Landmine Detection from GPR Images With Gauss Gradient Method | ||||
Menoufia Journal of Electronic Engineering Research | ||||
Article 4, Volume 27, Issue 1, January 2018, Page 71-88 | ||||
Document Type: Original Article | ||||
DOI: 10.21608/mjeer.2018.64392 | ||||
View on SCiNiTO | ||||
Authors | ||||
Fatma M. Ghamry1; Mahmoud I. Abdalla1; Naglaa F. Soliman2; Fathi E. Abd El-Samie3 | ||||
1Faculty of Engineering, Zagazig University, Zagazig, Egypt. | ||||
2Faculty of Computer and Information Sciences, Princess Nourah University, Riyadh, Saudi Arabia. | ||||
3Dept. of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt. | ||||
Abstract | ||||
Ground-Penetrating Radar (GPR) represents an efficient technique for landmine detection. Image processing methods are applied on GPR images in order to reduce the false alarms generated due to the environmental distortions and clutter. This paper presents an efficient method for landmine detection from GPR images depending on the gauss gradient method. The main idea is to apply the Gauss gradient on landmine images as a differentiator to reinforce the landmine objects in the image if existing. After that, both the image histogram and cumulative histogram are estimated. From the obtained histograms for images with and without landmines, we can set a threshold value on the cumulative histogram curve to differentiate between the cases of existing and absent landmine. Simulation results show the success of the proposed method in detecting landmines from GPR images. | ||||
References | ||||
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