%0 Journal Article
	%A András Barta and  István Vajk
	%D 2007
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 7, 2007
	%T Integrating Low and High Level Object Recognition Steps by Probabilistic Networks
	%U https://publications.waset.org/pdf/15671
	%V 7
	%X In pattern recognition applications the low level segmentation and the high level object recognition are generally considered as two separate steps. The paper presents a method that bridges the gap between the low and the high level object recognition. It is based on a Bayesian network representation and network propagation algorithm. At the low level it uses hierarchical structure of quadratic spline wavelet image bases. The method is demonstrated for a simple circuit diagram component identification problem.

	%P 2113 - 2122