模式识别的一种词意句法距离度量
A Syntactic-Semantic Distance Measure for Pattern Recognition
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摘要: 本文讨论噪声模式和畸变模式的识别问题.用带有位置坐标的树状文法描述图象,对区 域的边界进行分析,建立与产生式相对应的词意规则.这里既考虑模式的统计特征,又通过词 意、句法指导下的变换来描写畸变模式的结构.在此基础上提出一种包括词意及句法的距离 度量,从而用最小距离准则来进行识别.Abstract: The attributed tree grammar with coordinates for describing noisy and distorted pattern is discussed in this paper. Some semantic rules corresponding to tree productions for describing boundary of a region are given. In addition, based on a semantic syntax-directed translation from pure patterns to distorted patterns, a distance measure including both semantics and syntax is proposed. Thus the minimum distance criterion can be used to recognize the patterns.
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