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Steel slab surface detect detection using texture analysis

version 1.0.0 (2.32 KB) by Jahnavi Chintapalli
Use texture analysis for defect detection and classification using lbpfeature extraction and mean squared error for classification.

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Updated 25 Nov 2021

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Hot rolled steel slabs during their manufacturing process encounter several faults which are visible on the surface. Visible analysis is one of the defect detection process commonly used. Here we use lbp feature extraction for features from the trained data and squared mean error for classification of test data.

Cite As

Jahnavi Chintapalli (2021). Steel slab surface detect detection using texture analysis (https://www.mathworks.com/matlabcentral/fileexchange/102579-steel-slab-surface-detect-detection-using-texture-analysis), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2021b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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