Fatma M. El-Ghamry1,2, Walid El-Shafai2, Mahmouad I. Abdalla1, Ghada M. El-Banby3, Abeer D. Algarni4,*, Moawad I. Dessouky2, Adel S. Elfishawy2, Fathi E. Abd El-Samie2,4, Naglaa F. Soliman1,4
CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 4457-4487, 2022, DOI:10.32604/cmc.2022.022328
Abstract Recently, ground-penetrating radar (GPR) has been extended as a well-known area to investigate the subsurface objects. However, its output has a low resolution, and it needs more processing for more interpretation. This paper presents two algorithms for landmine detection from GPR images. The first algorithm depends on a multi-scale technique. A Gaussian kernel with a particular scale is convolved with the image, and after that, two gradients are estimated; horizontal and vertical gradients. Then, histogram and cumulative histogram are estimated for the overall gradient image. The bin values on the cumulative histogram are used for discrimination between images with and… More >
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