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工程图信息系统──EDIS 被引量:2

Engineering Drafting Information System
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摘要 介绍了EDIS(EngineeringDraftingInformationSystem)系统的多层次处理工程图纸的方法以及在图形识别方面的新进展。EDIS通过对图纸数据的分层,使系统在处理图纸信息中能灵活结合自动处理、人工交互和智能辅助的方式,提高了处理的效率和实用性。文章还在图形识别的研究中提出了“轮廓匹配法”、推广的拓扑数据结构和图形矢量的鲁棒识别方法。 Industry has always been using drawings and maps as the primary mcans of communicating design andmanufacturing information.If the drawings are to be medified extensively by mcans of CAD tool,amethed of converting the scanned image into a suitable format must be available, To develop the effectivemethod,four basic data type of drawings have been defined in this papor,which take the advantage ofusing fiexible operations efficiently.Moreover,“contour line matching”,“spceific topological structurecxpression”,and “rubust vector extraction method”have been intreduced within the process ofVectorisation
作者 朱建新 周济
出处 《高技术通讯》 CAS CSCD 1994年第10期17-19,共3页 Chinese High Technology Letters
基金 863计划资助项目
关键词 工程图 信息系统 EDIS 计算机处理 Drawing input,Drawing recognition,Graph topology
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同被引文献42

  • 1董玉德,谭建荣,赵韩,李道伦.一种欠约束草图求解方法的研究[J].中国图象图形学报(A辑),2004,9(7):878-885. 被引量:2
  • 2方卫宁,梁锡昌.机械图纸的自动处理与识别[J].机械工程学报,1995,31(1):8-14. 被引量:3
  • 3胡友兰,黄树槐,常明.机械工程图自动输入与计算机理解技术[J].小型微型计算机系统,1996,17(12):38-42. 被引量:5
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  • 5Di Stefano P, Bianconi F,Di Angelo L. An approach for feature semantics recognition in geometric models [J].Computer-Aided Design, 2004,36 (10) : 993--1009.
  • 6Xu X W,Bai Y B. Computerising scanned engineering documents[J]. Computers Industry,2000,42(1) :59--71.
  • 7Li B,Suen C V. A knowledge-based thinning algorithm[J]. Pattern Recognition,1991,24(12) :1211--1221.
  • 8Legg L, Hsu C,Bruderlin B D,et al. Inferring 3D CAD models from freehand sketches and eonstraints[J]. Computer Aided Design,1995,27(4):243--254.
  • 9Honda T, Kaneko S, Takeda Y. 3D shape reconstruction for recognition of freehand machine drawings[J]. Annals of CIRP, 1993,42(1) : 185-- 188.
  • 10Jospeh S H,Pridmore T P. Knowledge-directed interpretation of mechanical engineering drawings [J]. IEEE Transaction on Pattern Analysis and Machine Intelligdnce,1992,14 (9) : 928--940.

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