{"title":"An object-oriented model for drawing understanding and its ability of noise absorption","authors":"Wei Wu, Wei Lu, M. Sakauchi","doi":"10.1109/ICDAR.1995.598990","DOIUrl":null,"url":null,"abstract":"In this paper we propose a new framework of object-oriented model named MTDM (Matching Tree Driving Model) for drawing understanding and verify its ability of noise absorption. MTDM makes use of descriptions of object-oriented style and is an integration of static and dynamic description of recognition target. Static descriptions are for representation of abstract features so that description of structure and restriction become easier. At the same time static descriptions can be independent of matching procedures of recognition target. The dynamic descriptions are for matching control of recognition target in the form of tree structure named matching tree. Matching procedures for complex targets can be easily described with multiple matching trees. By application to several typical engineering drawings, particularly drawings with noises and distortions MTDM is proven to be suitable for multipurpose and multitarget platform.","PeriodicalId":273519,"journal":{"name":"Proceedings of 3rd International Conference on Document Analysis and Recognition","volume":"26 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 3rd International Conference on Document Analysis and Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDAR.1995.598990","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In this paper we propose a new framework of object-oriented model named MTDM (Matching Tree Driving Model) for drawing understanding and verify its ability of noise absorption. MTDM makes use of descriptions of object-oriented style and is an integration of static and dynamic description of recognition target. Static descriptions are for representation of abstract features so that description of structure and restriction become easier. At the same time static descriptions can be independent of matching procedures of recognition target. The dynamic descriptions are for matching control of recognition target in the form of tree structure named matching tree. Matching procedures for complex targets can be easily described with multiple matching trees. By application to several typical engineering drawings, particularly drawings with noises and distortions MTDM is proven to be suitable for multipurpose and multitarget platform.
本文提出了一种新的面向对象模型框架——匹配树驱动模型(Matching Tree Driving model, MTDM),用于绘图理解和验证其吸噪能力。MTDM采用面向对象的描述方式,是识别目标静态描述和动态描述的结合。静态描述用于表示抽象特征,以便更容易地描述结构和限制。同时,静态描述可以独立于识别目标的匹配过程。动态描述以树状结构的形式对识别目标进行匹配控制,称为匹配树。复杂目标的匹配过程可以用多个匹配树来描述。通过对几种典型工程图,特别是带有噪声和畸变的图的应用,证明了MTDM算法适用于多用途、多目标平台。