Artículo
Image Segmentation Inspired by Cellular Models using hardware programming
Autor/es | Carnero Iglesias, Javier
Díaz Pernil, Daniel Molina Abril, Helena Real Jurado, Pedro |
Departamento | Universidad de Sevilla. Departamento de Matemática Aplicada I |
Fecha de publicación | 2010 |
Fecha de depósito | 2015-06-29 |
Publicado en |
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Resumen | Several features of image segmentation make it suitable for bio–inspired techniques. It can be parallelized, locally solved and the input data can be easily encoded using representations inspired by nature. In this paper, ... Several features of image segmentation make it suitable for bio–inspired techniques. It can be parallelized, locally solved and the input data can be easily encoded using representations inspired by nature. In this paper, we present a new hardware system that follows the Membrane Computing approach, and performs edge–based segmentation, noise removal and thresholding of digital images. |
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