Original paper
A comparative study of image processing thresholding algorithms on residual oxide scale detection in stainless steel production lines
Abstract
The present work is intended for residual oxide scale detection and classification through the application of image processing techniques. This is a defect that can remain in the surface of stainless steel coils after an incomplete pickling process in a production line. From a previous detailed study over reflectance of residual oxide defect, we present a comparative study of algorithms for image segmentation based on thresholding methods. In...
Paper Details
Title
A comparative study of image processing thresholding algorithms on residual oxide scale detection in stainless steel production lines
Published Date
Jan 1, 2019
Journal
Volume
41
Pages
216 - 223
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History