Title :
A new method for fast computation of moments based on 8-neighbor chain code applied to 2-D object recognition
Author :
Ji, Guang-Rong ; Wang, Guo-Yu ; Houkes, Z. ; Zheng, Bing ; Han, Yan-ping
Author_Institution :
Dept. of Electr. Eng., Ocean Univ. of Qingdao, China
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
Keywords :
image representation; method of moments; neural nets; object recognition; 2D moment invariants; 2D object recognition; 2D shape recognition; 8 neighbour chain code; artificial neural networks; computational burden; fast computation; iterative method; moment computation; pattern recognition; polygonal approximation; shape representation; two dimensional object recognition; Artificial neural networks; Image converters; Image recognition; Iterative algorithms; Iterative methods; Object recognition; Oceans; Pattern recognition; Shape; Two dimensional displays;
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
DOI :
10.1109/ICIPS.1997.669116
