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Modeling of objects using mathematical morphology and neighborhood graphs

Abstract

The modeling of objects using mathematical morphology and graphs neighborhood, besides the validation of new concepts and tests of efficiency, will work in this research. We propose to continue the studies of morphological operators using neighborhood graphs and apply in problems of image processing, emphasizing the segmentation of cells in biology. (AU)

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VEICULO: TITULO (DATA)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
ZAMPIROLLI, FRANCISCO DE ASSIS; FILIPE, LEONARDO; SMARI, WW. A Fast CUDA-based Implementation for the Euclidean Distance Transform. 2017 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING & SIMULATION (HPCS), v. N/A, p. 4-pg., . (09/14430-1)

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