• CN:11-2187/TH
  • ISSN:0577-6686

›› 2006, Vol. 42 ›› Issue (10): 182-185.

• 论文 • 上一篇    下一篇

基于工业CT图像的轮廓控制点优化提取

刘晶;张定华;王凯;赵歆波   

  1. 西北工业大学现代设计与集成制造技术教育部重点实验室
  • 发布日期:2006-10-15

OPTIMIZATION EXTRACTION OF CONTOUR DOMINANT POINTS BASED ON INDUSTRIAL CT IMAGE

LIU Jing;ZHANG Dinghua;WANG Kai;ZHAO Xinbo   

  1. Key Laboratory for Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University
  • Published:2006-10-15

摘要: 针对如何提取工业CT图像轮廓控制点这一问题,提出一种简单有效的二次提取方法。该方法分为粗提取和精提取两步。首先计算轮廓数据点的离散圆曲率,通过粗提取去除轮廓数据点中的坏点和对轮廓特征贡献很小的点。然后在精提取过程中,通过多层次细节分析将轮廓控制点提取出来。试验验证提取出的轮廓控制点不仅能够表示轮廓的形状,而且能有效地消除数据冗余。

关键词: 多层次细节分析, 工业CT图像, 控制点, 离散曲率

Abstract: Second selection method is presented for extracting contour dominant points of industrial CT image, which is simple and efficient. The method comprises rough extraction and accurate extraction. First discrete circular curvatures of contour points are calculated. Bad points are removed by rough extraction, meanwhile, points which aren’t correlated with contour feature are also removed. Then in the process of accurate extraction, contour dominant points are extracted by levels of detail. Experimental results show that contour dominant points can express contour’s shape and redundant data are removed.

Key words: Discrete curvature, Dominant points, Industrial CT image, Levels of detail analysis

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