PSDNet: Determination of Particle Size Distributions Using Synthetic Soil Images and Convolutional Neural Networks

no code implementations • 7 Mar 2023 • Javad Manashti, Pouyan Pirnia, Alireza Manashty, Sahar Ujan, Matthew Toews, François Duhaime

This project aimed to determine the grain size distribution of granular materials from images using convolutional neural networks.

Transfer Learning

Comparing PSDNet, pretrained networks, and traditional feature extraction for predicting the particle size distribution of granular materials from photographs

no code implementations • 7 Mar 2023 • Javad Manashti, François Duhaime, Matthew F. Toews, Pouyan Pirnia, Jn Kinsonn Telcy

Results show that a combination of all PSDNet color and grayscale features can lead to a root mean square error (RMSE) on the percentages passing as low as 1. 8 % with a random testing dataset and 9. 1% with the material removal method.