A New Method for Fast Computation of Moments Based on 8-neighbor Chain CodeApplied to 2-D Objects Recognition

Ji, Guang-rong and Wang, Guo-yu and Houkes, Zweitze and Zheng, Bing and Han, Yan-ping (1997) A New Method for Fast Computation of Moments Based on 8-neighbor Chain CodeApplied to 2-D Objects Recognition. In: IEEE International Conference on Intelligent Processing Systems, ICIPS '97, 28-31 Oct. 1997, Beijing, China.

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Abstract:	2D moment invariants have been successfully applied in pattern recognition tasks. The main difficulty of using moment invariants is the computational burden. To improve the algorithm of moments computation through an iterative method, an approach for fast computation of moments based on the 8-neighbor chain code is proposed in this paper. Then artificial neural networks are applied for 2D shape recognition with moment invariants. Compared with the method of polygonal approximation, this approach shows higher accuracy in shape representation and faster recognition speed in experiments
Item Type:	Conference or Workshop Item
Copyright:	© 1997 IEEE Press
Research Group:	Robotics and Mechatronics (CE)
Link to this item:	http://purl.utwente.nl/publications/16570
Official URL:	http://dx.doi.org/10.1109/ICIPS.1997.669116
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