A VGGNet-like approach for classifying and segmenting coal dust particles with overlapping regions

Title
A VGGNet-like approach for classifying and segmenting coal dust particles with overlapping regions
Authors
Keywords
Image characteristics learning, Overlapping particles, CNN network, Intersections, Particle size distribution
Journal
COMPUTERS IN INDUSTRY
Volume 132, Issue -, Pages 103506
Publisher
Elsevier BV
Online
2021-08-03
DOI
10.1016/j.compind.2021.103506

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started