Proceedings of the 2012 National Conference on Information Technology and Computer Science

The Application of Threshold Segmentation Algorithm in Loess Microstructure Image Analysis

Authors
Nian-dong Deng, Xiao Wang, Feng Wang, Yang Zhou
Corresponding Author
Nian-dong Deng
Available Online November 2012.
DOI
https://doi.org/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.
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Proceedings
2012 National Conference on Information Technology and Computer Science
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
978-94-91216-39-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/citcs.2012.206How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 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  - https://doi.org/10.2991/citcs.2012.206
ID  - Deng2012/11
ER  -