计算机科学 ›› 2018, Vol. 45 ›› Issue (5): 266-272.doi: 10.11896/j.issn.1002-137X.2018.05.046

• 图形图像与模式识别 • 上一篇    下一篇

基于重新检测过程的三维细化算法的改进

洪汉玉,马尔威,黄丽坤   

  1. 武汉工程大学电气信息学院图像处理与智能控制研究所 武汉430205,武汉工程大学电气信息学院图像处理与智能控制研究所 武汉430205,武汉工程大学电气信息学院图像处理与智能控制研究所 武汉430205
  • 出版日期:2018-05-15 发布日期:2018-07-25
  • 基金资助:
    本文受国家自然科学基金项目(61433007),国家自然科学基金面上项目(61671337),湖北省自然科学基金创新群体项目(2012FFA046)资助

Improvement of 3D Thinning Algorithm Based on Re-checking Procedure

HONG Han-yu, MA Er-wei and HUANG Li-kun   

  • Online:2018-05-15 Published:2018-07-25

摘要: 现有的基于简单点判断的三维细化算法不能保证提取骨架的连续性,容易产生断裂。针对该问题,提出了一组各向同性模板,该模板能够使得算法具有90°旋转不变性;在此基础上,进一步提出了一种新的重新检测的方法,通过判断被删除的目标点的26邻域的连通性,来决定该目标点是否应该被还原,从而逐点检测3D物体的连通性,达到 保持整体连通性的目的。该方法可以应用于大多数基于模板的三维细化算法,能够修复断裂,保证其拓扑结构,避免产生空洞;同时,与同类算法相比,本算法由于利用了各向同性模板,在物体旋转的情况下亦能得到最佳的细化结果。

关键词: 三维细化,简单点,重新检测,拓扑结构,各向同性

Abstract: The existing thinning algorithms based on simple point fail to preserve the connectivity of extracted skeleton.This paper first proposed a set of isotropic deleting templates which keeps the algorithm have 90°rotation invariance,and then proposed a new re-checking procedure by detecting weather the connectivity of target point’s 26-neighborhood have changed or not after deleting points to determine whether the target should be reduced,thus the connectnity of 3D objects can be detected by the point.This method can suit most of the thinning algorithms based on simple point and fix the cavities to preserve topology structure.The new proposed algorithm can get the best results when compared with other algorithms based on templates in rotation invariance test.

Key words: 3D thinning,Simple point,Re-checking,Topology structure,Isotropic

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