pyDGS - a Python framework for wavelet-based digital grain size analysis
pyDGS is an open-source project dedicated to provide a Python framework to compute estimates of grain size distribution using the continuous wavelet transform method of Buscombe (2013) from an image of sediment where grains are clearly resolved. DOES NOT REQUIRE CALIBRATION
This program implements the algorithm of:
Buscombe, D. (2013) Transferable Wavelet Method for Grain-Size Distribution from Images of Sediment Surfaces and Thin Sections, and Other Natural Granular Patterns. Sedimentology 60, 1709-1732
http://dbuscombe-usgs.github.io/docs/Buscombe2013_Sedimentology_sed12049.pdf
python setup.py install
sudo python setup.py install
pip install pyDGS
python -c "import DGS; DGS.test.dotest()"
python
import DGS
density = 10 # process every 10 lines
res = 0.01 # mm/pixel
doplot = 0 # don't make plots
image_folder = '/home/sed_images'
DGS.dgs(image_folder,density,doplot,res)
REQUIRED INPUTS: folder e.g. '/home/my_sediment_images' if 'pwd', then the present directory is analysed
OPTIONAL INPUTS [default values] density = process every density lines of image [10] doplot = 0=no, 1=yes [0] resolution = spatial resolution of image in mm/pixel [1]
Note that the larger the density parameter, the longer the execution time.
GNU Lesser General Public License, Version 3
(http://www.gnu.org/copyleft/lesser.html)
This software is in the public domain because it contains materials that
originally came from the United States Geological Survey, an agency of the
United States Department of Interior. For more information,
see the official USGS copyright policy at
http://www.usgs.gov/visual-id/credit_usgs.html#copyright
Any use of trade, product, or firm names is for descriptive purposes only
and does not imply endorsement by the U.S. government.
I recommend the Anaconda python distribution for Windows which includes all of the library dependencies required to run this program. Anaconda comes with a variety of IDEs and is pretty easy to use. To run the test images, launch the Anaconda command terminal and type:
pip install pyDGS
python -c "import DGS; DGS.test.dotest()"
This program implements the algorithm of Buscombe, D. (2013) Transferable Wavelet Method for Grain-Size Distribution from Images of Sediment Surfaces and Thin Sections, and Other Natural Granular Patterns, Sedimentology 60, 1709 - 1732
Author: Daniel Buscombe Grand Canyon Monitoring and Research Center United States Geological Survey Flagstaff, AZ 86001 dbuscombe@usgs.gov First Revision January 18 2013
For more information visit https://github.com/dbuscombe-usgs/pyDGS
Please contact: dbuscombe@usgs.gov
to report bugs and discuss the code, algorithm, collaborations
For the latest code version please visit: https://github.com/dbuscombe-usgs
See also the project blog: http://dbuscombe-usgs.github.com/
Please download, try, report bugs, fork, modify, evaluate, discuss. Thanks for stopping by!