The Application of Threshold Segmentation Algorithm in Loess Microstructure Image Analysis
Nian-dong Deng, Xiao Wang, Feng Wang, Yang Zhou
Available Online November 2012.
- https://doi.org/10.2991/citcs.2012.206How to use a DOI?
- Image Segmentation; Loess; Microstructure
- 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.
- 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 -