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 More >
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