Defect Detection of Steel Surfaces with Global Adaptive Percentile Thresholding of Gradient Image

By Nirbhar Neogi, Dusmanta Kumar Mohanta, Pranab Kumar Dutta. 2017

57 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/e908311f6a9bc6e1c78d134ae4e9e88eab42a39b

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In Computer Vision and Pattern Recognition

1. Chunhua Yang

Citations in the corpus

• Automated Visual Defect Detection for Flat Steel Surface: A Survey (2020, methodology): “[23] proposed a global adaptive percentile thresholding scheme based on gradient images.”