An Invariance Algorithm of Synergetic Pattern Recognition一种协同模式识别不变性算法  

An Invariance Algorithm of Synergetic Pattern Recognition

作　　者：邵静[1] 高隽[1] 徐小红[1] 

机构地区：[1]合肥工业大学计算机与信息学院

出　　处：《模式识别与人工智能》2006年第4期462-468,共7页Pattern Recognition and Artificial Intelligence

基　　金：国家自然科学基金(No.60375011;60575028);安徽省优秀青年科技基金(No.04042044);新世纪优秀人才支持计划项目(No.NCET-04-0560)资助

摘　　要：提出一种协同模式识别的不变性算法,利用协同模式识别的有势动力学理论,求取测试样本的仿射变换参数。通过原型模式对测试样本的自适应或原型模式对测试样本的同化,由序参量动力学演化过程得到正确的识别模式。此算法避免利用傅立叶等方法进行变换域的处理,而且更符合人的认知过程。仿真实验验证了算法的有效性和鲁棒性。A synergetic invariance algorithm is proposed in this paper. Through the influential dynamic theory of synergetic pattern recognition, the parameters of the affine transform are gotten. The right pattern can be gotten by the dynamic evolvement of the order parameters and the auto-adaptive or the nationalization of the prototype to testing patterns. This method avoids the processing of frequency field utilized by the Fourier transform. And it is similar to the recognition of human being. The validity and robustness of the algorithm are demonstrated by the experiments.

关 键 词：协同模式识别 不变性 动力学方程 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]