@conference {944,
	title = {On Order{\textendash}Independent Sequential Thinning},
	booktitle = {IEEE International Conference on Cognitive Infocommunications (CogInfoCom)},
	year = {2012},
	month = {2012},
	pages = {149 - 154},
	publisher = {IEEE},
	organization = {IEEE},
	type = {Conference paper},
	address = {Kosice, Slovakia },
	abstract = {<p>The visual world composed by the human and computational cognitive systems strongly relies on shapes of objects. Skeleton is a widely applied shape feature that plays an important role in many fields of image processing, pattern recognition, and computer vision. Thinning is a frequently used, iterative object reduction strategy for skeletonization. Sequential thinning algorithms, which are based on contour tracking, delete just one border point at a time. Most of them have the disadvantage of order-dependence, i.e., for dissimilar visiting orders of object points, they may generate different skeletons. In this work, we give a survey of our results on order-independent thinning: we introduce some sequential algorithms that produce identical skeletons for any visiting orders, and we also present some sufficient conditions for the order-independence of templatebased sequential algorithms.</p>},
	isbn = {978-1-4673-5187-4 },
	doi = {10.1109/CogInfoCom.2012.6421971},
	url = {http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6413305},
	author = {P{\'e}ter Kardos and K{\'a}lm{\'a}n Pal{\'a}gyi},
	editor = {IEEE}
}
