Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (19): 173-176.DOI: 10.3778/j.issn.1002-8331.2010.19.051

• 图形、图像、模式识别 • Previous Articles     Next Articles

Compare of range image segmentation methods with differential coefficient operation and binary morphology

ZHANG Mei1,2,WEN Jing-hua1,ZHANG Zu-xun2,ZHANG Jian-qing2   

  1. 1.School of Mathematics and Statistics,Guizhou Financial Institute,Guiyang 550004,China
    2.School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China

  • Received:2009-03-26 Revised:2009-05-26 Online:2010-07-01 Published:2010-07-01
  • Contact: ZHANG Mei

微分运算与形态学深度图像分割比较

张梅1,2,文静华1,张祖勋2,张剑清2   

  1. 1.贵州财经学院数学与统计学院,贵阳550004
    2.武汉大学遥感信息工程学院,武汉430079

  • 通讯作者: 张梅

Abstract: Firstly the two range image segmentation methods in common use with differential coefficient operation and morphology
edge-detecting operator are researched.Then an improved segmentation method based on morphology waterline region
is put forward,and the experiments to compare and analyze the segmentation result and computing speed of the three
methods for range image of the same object are finished.The experiment results indicate:The speed of the improved method
is faster than the method with Differential operator,while it is a little slower than the segmentation method based on morphology
edge-detecting operator;the edges extracted by the improved arithmetic are smoother than the edges extracted by
the two traditional segmentation methods,and its segmentation result is well consistent with subjective vision of human.

摘要: 首先研究了深度图像基于微分不变量和形态学边缘检测算子的两种常用分割方法,接着提出了一种改进的形态学水线区域分割方法,并用同一物体的深度图像进行对比分析实验。实验结果表明:改进算法的速度较基于微分不变量的分割方法快,但略慢于基于形态学边缘检测算子的分割方法;改进算法提取的边缘较前两种分割方法光滑,分割结果与人的主观视觉感知具有良好的一致性。

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