The Application of Threshold Segmentation Algorithm in Loess Microstructure Image Analysis

DOI

10.2991/citcs.2012.206How to use a DOI?

Keywords

Image Segmentation; Loess; Microstructure

Abstract

The image research on loess microstructure which has profound influence on loess engineering mechanics properties is a new subject of geotechnical, the loess microstructure information and its section of the occurrence can be reflected via CT or electron microscope technology. The loess microstructure image was interpreted by the loess microstructure image processing system developed through VC++ 6.0 platform. According to the different gray values of the different materials in the microstructure image, the image segmentation algorithm was used to obtain the binary segmentation which showed that the image contrast was enhanced, noise elimination and background purification effect were effective .This paper aims to expand the application category of microscopic image processing and explore research methods of loess microstructure, which has positive guiding significance on the analysis of loess engineering properties.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Nian-dong Deng
AU  - Xiao Wang
AU  - Feng Wang
AU  - Yang Zhou
PY  - 2012/11
DA  - 2012/11
TI  - The Application of Threshold Segmentation Algorithm in Loess Microstructure Image Analysis
BT  - Proceedings of the 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 812
EP  - 814
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.206
DO  - 10.2991/citcs.2012.206
ID  - Deng2012/11
ER  -