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Image Segmentation Inspired by Cellular Models using hardware programming

 

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Opened Access Image Segmentation Inspired by Cellular Models using hardware programming
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Author: Carnero Iglesias, Javier
Díaz Pernil, Daniel
Molina Abril, Helena
Real Jurado, Pedro
Department: Universidad de Sevilla. Departamento de Matemática Aplicada I
Date: 2010
Published in: Image-A : Applicable Mathematics in Image Engineering, 1 (3), 143-150
Document type: Article
Abstract: 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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URI: http://hdl.handle.net/11441/26206

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