DocumentCode :
3580787
Title :
A bio-inspired software for homology groups of 2D digital images
Author :
Alsalibi, Bisan ; Venkat, Ibrahim ; Subramanian, K.G. ; Christinal, Hepzibah A.
Author_Institution :
Sch. of Comput. Sci., Univ. Sains Malaysia, Minden, Malaysia
fYear :
2014
Firstpage :
1
Lastpage :
4
Abstract :
Computational topology within the context of digital imagery has gained a considerable role in several applications like structural pattern recognition and digital image processing. Membrane computing, which is a new computational model inspired from the structure and functioning of biological cells, has been adapted as a rich framework for handling many problems. In this paper, we present a membrane computing software for automatically computing homology groups of 2D digital images in a logarithmic number of steps.
Keywords :
biocomputing; image processing; topology; 2D digital images; P systems; bioinspired software; biological cells; computational model; computational topology; digital image processing; digital imagery; homology groups; logarithmic number; membrane computing software; structural pattern recognition; Biomembranes; Bismuth; Computational modeling; Computers; Digital images; Software; Topology; Homology; Membrane computing; P systems; P-lingua;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Membrane Computing (ACMC), 2014 Asian Conference on
Print_ISBN :
978-1-4799-8011-6
Type :
conf
DOI :
10.1109/ACMC.2014.7065800
Filename :
7065800
Link To Document :
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