ERDMANN, H.LOPES, L. A.Guilherme LopesRIBEIRO, M. P.Paulo Rodrigues2023-08-262023-08-262014-10-14ERDMANN, H.; LOPES, L. A.; LOPES, G.; RIBEIRO, M. P.; RODRIGUES, P. A study of a firefly meta-heuristics for multithreshold image segmentation. Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013, p. 211-218, 2014.https://repositorio.fei.edu.br/handle/FEI/4922© 2014 Taylor & Francis Group, London.Thresholding-based image segmentation algorithms are usually developed for a specific set of images because the objective of these algorithms is strongly related to their applications. The binarization of the image is generally preferred over multi-segmentation, mainly because it’s simple and easy to implement. However, in this paper we demonstrate that a scene separation with three threshold levels can be more effective and closer to a manually performed segmentation. Also, we show that similar results can be achieved through a firefly-based meta-heuristic. Finally, we suggest a similarity measure that can be used for the comparison between the distances of the automatic and manual segmentation.Acesso RestritoArtigo de evento