DocumentCode :
598787
Title :
Image analysis for soil dye tracer infiltration studies
Author :
Trancon y Widemann, Baltasar ; Bogner, C.
Author_Institution :
Comput. Sci., Univ. of Bayreuth, Bayreuth, Germany
fYear :
2012
fDate :
15-18 Oct. 2012
Firstpage :
409
Lastpage :
414
Abstract :
Flow processes in soils are closely related to groundwater quality often affected by human activities. Because hydrological models usually lack explanatory power, direct visualization of flow paths in dye tracer infiltration studies has become a standard tool in soil hydrology. These experiments provide images of dye-stained paths in soils and help evaluating the vulnerability or understanding the general hydrological functioning of a given site. Extracting relevant information demands expertise in hydrology as well as in image analysis and statistics. To our knowledge, no agreed and effective method to analyze large collections of such images exists in the soil hydrology community. In this paper we propose a general framework consisting of index functions and visual tools to support the expert in his/her evaluation of dye tracer infiltration images.
Keywords :
flow visualisation; geophysics computing; groundwater; hydrology; image processing; soil; flow path visualization; flow process; groundwater quality; hydrological function; hydrological model; image analysis; image evaluation; index function; soil dye tracer infiltration; soil hydrology; visual tool; Correlation; Entropy; Indexes; Measurement; Soil; Vectors; Visualization; Classification; Dye tracer study; Feature extraction; Machine learning; Soil hydrology; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing Theory, Tools and Applications (IPTA), 2012 3rd International Conference on
Conference_Location :
Istanbul
ISSN :
2154-5111
Print_ISBN :
978-1-4673-2585-1
Type :
conf
DOI :
10.1109/IPTA.2012.6469517
Filename :
6469517
Link To Document :
بازگشت