Navegando por Autor "Albanez, Daniela de Oliveira"

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    Redes neurais artificiais aplicadas à segmentação de imagens
    (Universidade Federal de Goiás, 2017-02-15) Albanez, Daniela de Oliveira; Batista, Marcos Aurélio; http://lattes.cnpq.br/3637940122788341; Batista, Marcos Aurélio; Barcelos, Célia Aparecida Zorzo; Silva, Sérgio Francisco da; Rabelo, Marcos Napoleão; Silva, Núbia Rosa da
    Image segmentation is one of image processing that problems that deserve special interest of the scientific community, given its real utility and application in various areas as medicine, geography, engineering, mathematics and computing, just to name a few. Much of the recent interest in segmentation has been motivated by the availability of satellite images on the Earth’s surface, which can be transformed into concrete knowledge, aiming at land use monitoring and data mining. This work proposes a new segmentation method, using Arficial Intelligence techniques, more specifically Artificial Neural Networks (ANNs), and compare its results of segmentation of satellite images with the original method. The binarized results are compared with the ground truth for the validation of the proposed segmentation method. Experimental results, quantative analysis of segmentation results, indicating that the proposed segmentation method generates better results and a decaying of 36.60% in the total average computacional time when compared with the original method.