Ponencia
Image Thresholding with Cell-like P Systems
Autor/es | Peng, Hong
Shao, Jie Li, Bing Wang, Jun Pérez Jiménez, Mario de Jesús Jiang, Yang Yang, Yufan |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2012 |
Fecha de depósito | 2016-02-04 |
Publicado en |
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ISBN/ISSN | 978-84-940056-6-4 |
Resumen | P systems are a new class of distributed parallel computing models. In this
paper, a novel three-level thresholding approach for image segmentation based on celllike
P systems is proposed in order to improve the computational ... P systems are a new class of distributed parallel computing models. In this paper, a novel three-level thresholding approach for image segmentation based on celllike P systems is proposed in order to improve the computational efficiency of multilevel thresholding. A cell-like P system with a specially designed membrane structure is developed and an improved evolution mechanism is integrated into the cell-like P system. Due to parallel computing ability and particular mechanism of the cell-like P system, the presented thresholding approach can effectively search the optimal thresholds for threelevel thresholding based on total fuzzy entropy. Experimental results of both qualitative and quantitative comparisons for the proposed approach and GA-based and PSO-based approaches illustrate the applicability and effectiveness. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Hong Peng et al - 10th BWMC.pdf | 300.6Kb | [PDF] | Ver/ | |