摘要
提出一种直接基于八向链码的矩的快速计算方法，给出了与多边形近似法矩的计算及形状识别时间比较，最后使用不变性矩和人工神经网络完成2—D形状识别。实验结果表明，本文所提出的方法具有更高的计算和识别速度。
2-D moment invariants have been successfully used in pattern recognition. In this paper we first propose a fast calculation method of moments based on the eight -direction code, in which we revise the iterative calculation formula proposed by X. Y. Jiang and use the polynomial calculation scheme proposed by Bing-Cheng Li, then we use the artificial neural networks and moment invariants for the recognition of 2 - D shapes. Compared with the polygon approximate method, our method has the advantages of higher accuracy for the 2-D shapes representation and faster pattern recognition speed.
关键词
八向链码
矩
快速计算
神经网络
目标识别
eight-direction chain code
moments fast calculation
artificial neural networks
2-D object recognition
