Lecture: Automatische und Angewandte Schadensdiagnostik in der Werkstofftechnik

Winter School: Automated Feature Extraction with ML and Image Processing

Angaben

Wann: Wintersemester
Universität Siegen, FB Maschinenbau
Kürzel afeml3k
VAK 4MBMA0601V
Zeit (Online, Sync.) Donnerstags: 12:00 - 14:00
Format Hybrider Kurs mit Online- und Präsenzveranstaltungen und interaktiven Übungen @home
Umfang: 3 SWS
ECTS: 6 CP

Media

Video Slides Date Description
Video Play - 22.10.21 Einführung in die digitalen Übungs- und Laborformate
Play Video - TBA Einführung in R+ Book Aufgaben
Video Play afeml3k0.html afeml3k0.pdf 19.10.23 Module 0: Introduction and Overview
Video Play afeml3kA.html afeml3kA.pdf 26.10.23 Module A: Data and Data Features (Part 1)
Video Play afeml3kA.html afeml3kA.pdf 02.11.23 Module A: Data and Data Features (Part 2) with practical lessons
- afeml3kB.html afeml3kB.pdf 09.11.23 Module B: Data storage and aggregation with R Programming and practical lessons
Video Play afeml3kD.html afeml3kD.pdf 16.11.23 Module D: Data and Feature Extraction Workflow in Images with practical lessons
Video Play afeml3kE.html afeml3kE.pdf 30.11.23 Module E: Convolutional Neural Networks in Computer Vision: Architecture and design principles (with application example) Teil 1
Video Play afeml3kE.html afeml3kE.pdf 07.12.23 Module E: Convolutional Neural Networks in Computer Vision: Architecture and design principles (with application example) Teil 2
Video Play afeml3kF.html afeml3kF.pdf 14.12.23 Module F: Training and Validation. Example using a simple ANN
Video Play afeml3kX.html afeml3kX.pdf 11.01.24 Module X: X-ray Imaging and Data
Video Play afeml3kY.html afeml3kY.pdf 18.01.24 Module Y: X-ray Imaging: Computer Tomography
Video Play lessonR-XrayImageFeatures1.html 25.01.24 Lesson Feature Extraction in X-ray Images Part 1
Video Play lessonR-XrayImageFeatures2.html 01.02.24 Lesson Feature Extraction in X-ray Images Part 2 using CNNs

Materials

File Version Description
afeml3k.epub Online 23.11.2022 Lecture/Course script (E-Book, continously updated)

Übungen

Die Einführungsvideos beachten (siehe oben)! Musterlösungen werden später bekannt gegeben.


File Version Abgabe Beschreibung
lessonR-Data01.html 16.11.23 30.11.23 Übung 1 : Einführung in die Datenverarbeitung und Analyse mit R (Teil 1)
lessonR-ImageAnalysis02.html 28.11.23 08.12.23 Übung 2 : Einführung in die Bildverarbeitung und Analyse mit R (Teil 1)
lessonR-ImageCNN1.html 14.12.2023 7.1.2024 Übung 3 : CNN
lessonR-ANN1.html 19.12.2023 7.1.2024 Übung 4 : ANN

Examples

File Version Description
afeml3kA.r 02.11.2023 Examples Module A
afeml3kB.r 09.11.2023 Examples Module B
afeml3kD.r 16.11.2023 Examples Module D
afeml3kE.r 07.12.2023 Examples Module E

Software

nw.js-win32.zip

File Version Description
node8.exe 8.12.0 node.js (MS Windows x86/32bit)
wex 1.8.1 WEX local File Server (requires node.js)
node wex
nw.js-win32.zip 0.41.3 node webkit 0.41.3 + start scripts (MS Windows x86/32bit)
imeas.nw 1.2.2 08.11.23 Image Measurement Tool (requires node webkit nw.js)
rbook.nw 1.15.5 08.11.23 R+ WorkBook (requires node webkit nw.js)
rbook.html 1.15.5 08.11.23 R+ WorkBook (requires Web Browser)
imeas.html 1.2.2 08.11.23 Images Measurement Tool (with R+) (requires Web Browser)
epub-viewer 1.1.3 EPUB Viewer (Java, nur Unix/Linux, epub-viewer EPUB)
epublib-tools-viewer-latest.jar 1.1.3 EPUB Viewer (Java, java -jar XXX EPUB)
Calibre 3.X-5.X EPUB Verwaltung und Reader (ebook-reader)

Poster

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