@article{(Open Science Index):https://publications.waset.org/pdf/15671, title = {Integrating Low and High Level Object Recognition Steps by Probabilistic Networks}, author = {András Barta and István Vajk}, country = {}, institution = {}, abstract = {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. }, journal = {International Journal of Computer and Information Engineering}, volume = {1}, number = {7}, year = {2007}, pages = {2113 - 2122}, ee = {https://publications.waset.org/pdf/15671}, url = {https://publications.waset.org/vol/7}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 7, 2007}, }