土工基础

›› 2015, Vol. 29 ›› Issue (4): 115-118.

• 工程实录 • 上一篇    下一篇

土体裂隙图像处理方法进展

肖明明1，刘观仕2，陈永贵1   

  1. (1.长沙理工大学，长沙 410004；2.中国科学院武汉岩土力学研究所，武汉 430071)
  • 收稿日期:2014-09-22 出版日期:2015-08-20 发布日期:2015-11-06
  • 作者简介:肖明明（1988-），男，硕士研究生，研究方向为岩土工程。
  • 基金资助:

    基金项目：国家自然科学基金资助项目（51279200）

Progress in Image Processing Method for Soil Cracks

XIAO Mingming1, LIU Guanshi2, CHEN Yonggui1   

  1. (1. Changsha University of Science and Technology, Changsha 410004;
    2. Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071)
  • Received:2014-09-22 Online:2015-08-20 Published:2015-11-06

摘要： 针对已获取的土体裂隙图像，介绍了数学形态学、图像分割等裂隙图像的处理方法。在数学形态学中，简明阐述了噪声滤除。骨架提取与重建等内容；在图像分割中，叙述了基于阈值、边缘检测、聚类、区域等图像分割方法；最后，对数学形态学、图像分割等裂隙图像处理方法的发展进行了展望。

关键词: 土体, 裂隙, 图像处理

Abstract: This paper reviews the developments of the mathematical morphology and image segmentation in the processing of the crack in the soil mass. In the area of mathematical morphology, the development of the noise filtering, skeleton extraction and reconstruction methods are described; in the area of image segmentation, the methods based on the threshold, edge detection, clustering and zoning are introduced. Finally, the prospects of these image processing methods are discussed.

Key words: Soil Mass, Crack, Image Processing