Defect Shape Classification Using Transfer Learning in Deep Convolutional Neural Network on Magneto-Optical Nondestructive Inspection

Defect Shape Classification Using Transfer Learning in Deep Convolutional Neural Network on Magneto-Optical Nondestructive Inspection

To implement a magneto-optic (MO) nondestructive inspection (MONDI) system for robot-based nondestructive inspections, quantitative evaluations of the presence, locations, shapes, and sizes of defects are required. This capability is essential for training autonomous nondestructive testing (NDT) dev...

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Bibliographic Details
Main Authors: I Dewa Made Oka Dharmawan, Jinyi Lee, Sunbo Sim
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Applied Sciences
Subjects:
magneto-optical nondestructive inspection
transfer learning
convolutional neural network
autonomous evaluation
defect shape classification
Online Access:https://www.mdpi.com/2076-3417/12/15/7613

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https://www.mdpi.com/2076-3417/12/15/7613

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