Appendix to: Computer vision and machine learning techniques for optical micrograph defect classification using a novel gray thresholding technique

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Authors: C.R. Hasbrouck, Simon W. Miller, Jay Martin
Cited by: 0

Abstract

This is supplementary material for https://doi.org/10.1007/s40192-026-00474-1. This page contains two zip files with: * Classification Code -- Machine Learning pipeline for Optical Micrograph Defect Classification * Optimal Gray Threshold -- Novel method for finding threshold values in grayscale images for Optical Micrographs Each ZIP contains code, data, and a README for specific implementations.

Fields of Study & Subjects

Industrial Vision Systems and Defect Detection Image Processing Techniques and Applications Advanced Neural Network Applications

Publication details

Journal / source
ScholarSphere (Penn State Libraries)
Publication date
28 January 2026