一种基于图形和空间关系的结构描述规则提取方法

Q4 Computer Science

模式识别与人工智能 Pub Date : 1992-08-30 DOI:10.1109/ICPR.1992.201773

S. Satoh, T. Satou, M. Sakauchi

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引用次数: 4

摘要

近年来，人们对多用途和通用的图像/模式识别方法提出了更高的要求。为了实现这一目标，需要实现一个自动识别规则生成系统。本文提出了一种结构描述规则学习系统，并将其作为基于模型视觉的模型。该系统采用部分结构化的样例图描述，并采用适当的归纳推理算法生成结构化描述规则，从而有效地生成结构化描述规则。

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One method of structural description rule extraction based on graphical and spatial relations

Recently, multi-purpose and generalized image/pattern recognition methods are required. To achieve this, it is desired to realize an automated recognition rule generation system. In this paper, a learning system of structural description rules which are used as models for the model based vision is presented. This system can generate structural description rules efficiently using partially structured example figure descriptions, and a proper inductive inference algorithm for generating structural description rules.<>

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来源期刊

模式识别与人工智能 Computer Science-Artificial Intelligence

CiteScore

1.60

自引率

0.00%

发文量

3316

期刊介绍：