基于随机文法的骨架结构化表示  

The Structural Representation of the Target Skeleton Based on Stochastic Grammar

作　　者：陈平[1] 

机构地区：[1]河南工业职业技术学院计算机工程系,河南南阳473009

出　　处：《西昌学院学报（自然科学版）》2008年第4期47-49,共3页Journal of Xichang University(Natural Science Edition)

摘　　要：针对传统目标骨架多采用图结构表示存在的缺陷,基于描述随机模式的随机文法技术,提出了用随机文法表示目标骨架,其核心是利用随机文法的抗干扰能力解决骨架对噪声的敏感,在随机文法中嵌入骨架权值抓住目标主要的拓扑特征,与传统的图结构对比,它能提高骨架的抗干扰能力,防止目标主要形状的丢失。To solve the deficiencies existing in the traditional target skeleton representation based on graph structure. According to the technique of stochastic grammar used to describe the stochastic model, a new method of target skeleton representation based on stochastic grammar is proposed. The core of the method is to solve the noise-sensitive of skeleton using the anti-jamming capability of stochastic grammar, embedding skeleton weight in the stochastic grammar to catch at the main topological characteristics of the objectives. Compared to the traditional graph structure, this method has better anti-jamming capability of target skeleton to prevent the loss of the main shape for objective.

关 键 词：图像处理 随机文法 骨架 目标结构化表示 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]