Gupta, Gaurav, Psarrou, Alexandra, 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 9781467314886Full text not available from this repository.
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|
|Subjects:||University of Westminster > Science and Technology > Electronics and Computer Science, School of (No longer in use)|
|Depositing User:||Rachel Wheelhouse|
|Date Deposited:||26 Jul 2012 09:47|
|Last Modified:||14 May 2013 11:28|
Actions (login required)
|Edit Item (Repository staff only)|