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对一种特征识别算法的两点改进 被引量:2

Two Improvements to an Algorithm of Feature Recognition
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摘要 针对一类重要的特征识别算法———Falcidieno算法 ,做了两点较大的改进 :第一 ,在处理显式特征时 ,原算法不能处理凸特征与凹特征相邻接时的情况 ,而改进后的算法可处理该情况 ,它可从既有凸边又有凹边的环识别出凸特征和凹特征 ;第二 ,指出了隐式凸特征存在的一个条件 ,并修改了对隐式特征的处理方法 ,从而可识别出更多类型的隐式凸特征 . Two improvements are discussed with regard to an important type of feature recognition algorithm, which is Falcidieno's algorithm. Firstly, when extracting the explicit features, the original algorithm cannot handle the case when protrusion features and depression features are adjacent. But the improved algorithm can do. It deals with the mixed loop, which is composed of convex edges and concave edges, and then classifies the features into protrusion ones and depression ones. Secondly, a property to extract the implicit protrusion features is discovered. And the method to treat with the implicit features is modified. Hence more kinds of implicit protrusion features can be recognized. These improvements extend remarkably the application range of the algorithm.
作者 徐世新
出处 《北京航空航天大学学报》 EI CAS CSCD 北大核心 2000年第4期454-456,共3页 Journal of Beijing University of Aeronautics and Astronautics
关键词 计算机辅助设计 特征抽取 特征识别算法 computer aided design feature extraction characteristic recognition
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参考文献4

  • 1[1]Falcidieno B, Giannini F. Extraction and organization of form features into a structured boundary model[A]. In: Marechal G, ed. EuroGraphics'87[C]. North-Holland:Elsevier Science Publishers B V,1987. 249~259. 被引量:1
  • 2[2]Falcidieno B,Giannini F. Automatic recognition and representation of shape-based features in a geometric modeling system[J]. Computer Vision, Graphics and Image Processing, 1989,48(1):93~123. 被引量:1
  • 3[3]Kyprianou L K. Shape classification in computer-aided design[D].Cambridge: Univ of Cambridge, 1980. 被引量:1
  • 4[4]Fields M C,Anderson D C. Fast feature extraction for machining applications[J]. Computer-Aided Design, 1994,26(11):803~813. 被引量:1

同被引文献15

  • 1杜娟,田锡天,朱名铨,刘书暖,李建克.基于STEP和STEP-NC的CAD/CAPP/CAM/CNC系统集成技术研究[J].计算机集成制造系统,2005,11(4):487-491. 被引量:32
  • 2Joshi S, Chang T C. Graph-based Heuristics for Recognition of Machined Features from a 3D Solid Model[J]. Computer- aided Design, 1988,20 (2) : 58 -66. 被引量:1
  • 3Ferreira J C E, Hinduja S. Convex Hull-based Feature-recognition Method for 2.5D Components [J]. Compute- aided Design, 1990,22 (1) : 41-49. 被引量:1
  • 4Gao S,Shah J J. Automatic Recognition of Interacting Machining Features Based on Minimal Condition Sub - graph [J]. Computer- aided Design,1998,30 (9):727-739. 被引量:1
  • 5Rahmani K,Arezooa B. A Hybrid Hint-based and Graph-based Framework for Recognition of Interacting Milling Features[J]. Computers in Industry, 2007,58(4):304-312. 被引量:1
  • 6Rameshbabu V,Shunmugam M S. Hybrid Feature Recognition Method for Setup Planning from STEP AP- 203 [J]. Robotics and Computer- integrated Manufacturing. 2009,25 (2) : 393-408. 被引量:1
  • 7Joshi S, Chang TC. Graph-based heuristics for recognition of machined features from a 3D solid model[ J]. Computer Aided Design, 1988,20 (2) :58-66. 被引量:1
  • 8J. C.E. Ferreira, S. Hinduja. Convex hull-based feature-recognition method for 2.5D components [ J ]. Compute- Aided Design, 1990,22 ( 1 ) :41-49. 被引量:1
  • 9S. Gao, J.J. Shah. Automatic recognition of interacting machining features based on minimal condition sub-graph [ J]. Computer-Aided Design, 1998,30(9) :727-739. 被引量:1
  • 10K. Rahmani, B. Arezooa. A hybrid hint-based and graph-based framework for recognition of interacting milling features[ J]. Computers in Industry, 2007,58(4) :304-312. 被引量:1

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