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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2013 Vol.5(3): 488-493 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2013.V5.735

Object Localization Based Segmentation and Spatial Analysis Using Computer Vision

Erkan Bostanci and Betul Bostanci
Abstract—This paper extends the classical segmentation method known as region growing using a new localization method which uses algorithms from computer science and computer vision. Described method was successfully applied to the problem of cell localization and segmentation. The method proves to be useful as part of a whole autonomous segmentation process. Furthermore, methods from spatial statistics were employed in order to model the spatial distribution of the localized objects. In-depth discussion of these methods including density plots and the Ripley’s K function is presented along with the results for test set used in the experiments.

Index Terms—Object localization, segmentation, spatial analysis

The authors are with the University of Essex, Colchester, UK (e-mail: gebost@essex.ac.uk, bbosta@essex.ac.uk).


Cite:Erkan Bostanci and Betul Bostanci, "Object Localization Based Segmentation and Spatial Analysis Using Computer Vision," International Journal of Computer Theory and Engineering vol. 5, no. 3, pp. 488-493, 2013.

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