DocumentCode :
3638981
Title :
A bio-inspired software for segmenting digital images
Author :
Daniel Dfaz-Pernil;Helena Molina-Abril;Pedro Real;Miguel A. Gutiérrez-Naranjo
Author_Institution :
Research Group on Computational Topology and Applied Mathematics, Universidad de Sevilla, Spain
fYear :
2010
Firstpage :
1377
Lastpage :
1381
Abstract :
Segmentation in computer vision refers to the process of partitioning a digital image into multiple segments (sets of pixels). It has several features which make it suitable for techniques inspired by nature. It can be parallelized, locally solved and the input data can be easily encoded by bio-inspired representations. In this paper, we present a new software for performing a segmentation of 2D digital images based on Membrane Computing techniques.
Keywords :
"Image segmentation","Presses","Biomedical imaging"
Publisher :
ieee
Conference_Titel :
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Print_ISBN :
978-1-4244-6437-1
Type :
conf
DOI :
10.1109/BICTA.2010.5645062
Filename :
5645062
Link To Document :
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