Abstract
Following on the development of soil shear bands, this paper studies the processing method of soil mesostructure images taken by optical microscope. The study shows that: the images fusion method based on wavelet transform can solve the problems caused by depth of field existing in the images of soil mesostructure; the image mosaic based on the module matching is a better method to solve the problems of the limited observation range for the mesostructure; the images of the soil mesostructure processed by combination of the two methods can meet the needs for the studies of the soil mesostructure parameters.
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Acknowledgments
This work is supported by the Science and technology project in Fujian Province Education Department (No. JAT160549, No. JA15339), Development Fund of Key Laboratory of Geomechanics and Embankment Engineering, Ministry of Education (No. GH201405), and startup funds of Fujian University of Technology (No. GY-212081).
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Zheng, S., Fang, Q. (2018). Application of Image Preprocessing in Soil Mesostructure. In: Krömer, P., Alba, E., Pan, JS., Snášel, V. (eds) Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications. ECC 2017. Advances in Intelligent Systems and Computing, vol 682. Springer, Cham. https://doi.org/10.1007/978-3-319-68527-4_4
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DOI: https://doi.org/10.1007/978-3-319-68527-4_4
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