Weak rocks disintegration patterns recognition through image analysis
DOI
https://doi.org/10.23919/MVA.2017.7986870
Document Type
Conference Proceeding
Publication Date
7-19-2017
Publication Title
Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017
Abstract
This paper presents results about image analysis application for identification and classification of disintegration patterns upon weak rocks, clay-bearing rocks and Intermediate Geomaterials IGMs. The research was conducted in order to obtain a reliable method for field and laboratory because upon these materials, it is quite difficult to acquire unaltered samples due to the quick disintegration after the materials are exposed to environmental conditions. Thus, the application of image analysis and color changes produced by disintegration advance has shown reliable results to be used as an alternative method to replace the traditional human eye based classification charts. Several images were taken upon different disintegration states and environmental conditions and were correlated with changes in color channels, using colorimetric indices and statistical image descriptors. As a result, a disintegration classification method based on Image entropy and color changes was stated, the findings were validated and compared with results from traditional methods using both natural and artificial samples with controlled disintegration levels, in addition, Hyperspectral images, were used as well.
First Page
338
Last Page
341
ISBN
9784901122160
Recommended Citation
Rincon, Orlando and Ocampo, Manuel, "Weak rocks disintegration patterns recognition through image analysis" (2017). Scopus Unisalle. 290.
https://ciencia.lasalle.edu.co/scopus_unisalle/290
Identifier
SCOPUS_ID:85027832300