2008 7th Computer Information Systems and Industrial Management Applications Image Segmentation by Self-Organised Region Growing June 26-June 28 ISBN: 978-0-7695-3184-7
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CISIM.2008.52
In this paper, our work aims to show how region growing technique may be handled by swarming agents that are self-organisation in response to the local conditions of an image environment. In this approach, we combine the stigmergy mechanism with another type of swarm behavior: particle swarm optimization (PSO). PSO is used for optimize the search of the seed pixels of homogeneous regions and adjust locally the homogeneity threshold in different parts of image. However stigmergy is used for regulation of the growing structure of homogenous regions. Some experiments conducted on synthetic and real gray level images for showing the features of this approach and to present the obtained results.
Index Terms:
Image segmentation, Region growing, Self-organisation, Swarm intelligence
Citation:
Leila Djerou, Nacer Khelil, Mohamed Batouche, "Image Segmentation by Self-Organised Region Growing," cisim, pp.171-176, 2008 7th Computer Information Systems and Industrial Management Applications, 2008 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb