András Barta and István Vajk
Integrating Low and High Level Object Recognition Steps
3681 - 3686
2007
1
11
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/4603
https://publications.waset.org/vol/11
World Academy of Science, Engineering and Technology
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.
Open Science Index 11, 2007