Gupta, Gaurav and Psarrou, Alexandra and Angelopoulou, Anastassia and Garcia Rodriguez, Jose (2012) Region analysis through close contour transformation using growing neural gas. In: WCCI 2012 IEEE World Congress on Computational Intelligence, IJCNN, Brisbane, Australia, 10-15 June 2012. IEEE, pp. 1-8. ISBN 9781467314886
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Official URL: http://dx.doi.org/10.1109/IJCNN.2012.6252764
In our work we aim to explore a general framework that addresses the fundamental problem of universal unsupervised extraction of semantically meaningful visual regions. To this end this paper describes a novel region analysis technique using a self-organising map, the growing neural gas, which is adapted so as to improve modelling speed as well as to ensure a double-linkage chain around all region contours to simplify shape analysis. While the growing neural gas has been extensively applied to shape modelling, it has never explicitly been used for curvature analysis, contour description and region similarity. Once a contour network has been obtained, a transformation is applied that converts the closed contour to an open one, facilitating the use of certain angular descriptors. Discriminative descriptors derived from the properties of regions, their contours and their transformed contours are established and define a feature vector used for the representation of regions based on the appearance and contour information.
|Item Type:||Book Section|
|Research Community:||University of Westminster > Electronics and Computer Science, School of|
|Deposited On:||26 Jul 2012 10:47|
|Last Modified:||14 May 2013 12:28|
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