Tunnel Face Image Segmentation Optimization

Authors

  • Du Cheng College of Electric & Information Engineering, Southwest University for Nationalities of China, Chengdu
  • Leng Biao

DOI:

https://doi.org/10.3991/ijes.v1i2.2739

Abstract


With the development of Transportation Highway and railroad build, mining tunnel geological exploration in the road construction in the proportion of great. This paper presents a design of image processing software of Geological Engineering images for automatic analysis and processing. At present, the technology of image processing, most algorithms are based on the specific image information of specific analysis, and the face image is very complicated, different regions, and even the same construction sections in different areas of the face image may have very big difference. For the tunnel excavation face of digital image processing algorithms have little, need to start from scratch. This paper describes the use of digital image processing technology of Geological Engineering image image segmentation, found on the rock face, through the comparison of edge detection operator and Sobel Gauss - Laplasse operator methods advantages and disadvantages, a value of two images as the processing object image processing algorithm. The technology of Geological Engineering image analysis on tunnel construction period prediction plays a very important role

Author Biography

Leng Biao

School of Civil Engineering , Southwest Jjiaotong University of China, Chengdu

Downloads

Published

2014-05-03

How to Cite

Cheng, D., & Biao, L. (2014). Tunnel Face Image Segmentation Optimization. International Journal of Recent Contributions from Engineering, Science & IT (iJES), 2(2), pp. 32–35. https://doi.org/10.3991/ijes.v1i2.2739

Issue

Vol. 2 No. 2 (2014)

Section

Papers

License

The submitting author warrants that the submission is original and that she/he is the author of the submission together with the named co-authors; to the extend the submission incorporates text passages, figures, data or other material from the work of others, the submitting author has obtained any necessary permission.
Articles in this journal are published under the Creative Commons Attribution Licence (CC-BY What does this mean?). This is to get more legal certainty about what readers can do with published articles, and thus a wider dissemination and archiving, which in turn makes publishing with this journal more valuable for you, the authors.
By submitting an article the author grants to this journal the non-exclusive right to publish it. The author retains the copyright and the publishing rights for his article without any restrictions.
This journal has been awarded the SPARC Europe Seal for Open Access Journals (What's this?)