Deep Learning based Defect Classification in X-ray Images of Weld Tubes

to connected objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Keyword: Convolutional Neural Network
Template Matching

Event: Veröffentlichung

(where): Chemnitz

(who): Technische Universität Chemnitz

(when): 2020

Creator: Sundar Rajan, Sarvesh

Contributor: Hardt, Wolfram
Schuster, Alfons
Mayer, Monika
Saleh, Shadi

URN: urn:nbn:de:bsz:ch1-qucosa2-730927

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:52 PM CET

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Sundar Rajan, Sarvesh
Hardt, Wolfram
Schuster, Alfons
Mayer, Monika
Saleh, Shadi
Technische Universität Chemnitz

Time of origin

2020

Other Objects (12)

Hochschulschrift

Automated defect detection and evaluation in X-ray CT images

Hochschulschrift

Automated defect detection and evaluation in X-ray CT images

Electronic Reference Images for Flaw Indications in Welds and Castings

Tubes

Archivale

Tubes, Bertha

Archivale

Tubes, Ernst

Illustration

PECTINARIAN TUBES

Archivale

Tubes, Bernard

Archivale

Tubes, Hermann

Measurement of Focal Spots of X-ray Tubes Using a CT Reconstruction Approach on Edge Images of Large Holes and Comparison to Pinhole Imaging

Hochschulschrift

Study on relevant factors influencing the strength of weld line defect in micro injection molding process

Hochschulschrift

Study on relevant factors influencing the strength of weld line defect in micro injection molding process

Hochschulschrift

Automated defect detection and evaluation in X-ray CT images

Hochschulschrift

Automated defect detection and evaluation in X-ray CT images

Electronic Reference Images for Flaw Indications in Welds and Castings

Tubes

Archivale

Tubes, Bertha

Archivale

Tubes, Ernst

Illustration

PECTINARIAN TUBES

Archivale

Tubes, Bernard

Archivale

Tubes, Hermann

Measurement of Focal Spots of X-ray Tubes Using a CT Reconstruction Approach on Edge Images of Large Holes and Comparison to Pinhole Imaging

Hochschulschrift

Study on relevant factors influencing the strength of weld line defect in micro injection molding process

Hochschulschrift

Study on relevant factors influencing the strength of weld line defect in micro injection molding process

Hochschulschrift

Automated defect detection and evaluation in X-ray CT images

Hochschulschrift

Automated defect detection and evaluation in X-ray CT images

Electronic Reference Images for Flaw Indications in Welds and Castings

Tubes

Archivale

Tubes, Bertha

Archivale

Tubes, Ernst

Illustration

PECTINARIAN TUBES

Archivale

Tubes, Bernard

Archivale

Tubes, Hermann

Measurement of Focal Spots of X-ray Tubes Using a CT Reconstruction Approach on Edge Images of Large Holes and Comparison to Pinhole Imaging

Hochschulschrift

Study on relevant factors influencing the strength of weld line defect in micro injection molding process

Hochschulschrift

Study on relevant factors influencing the strength of weld line defect in micro injection molding process

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Deep Learning based Defect Classification in X-ray Images of Weld Tubes

Object Details

Classification and Topics

Contributors, Places and Time

Further information

Data provider

Associated

Time of origin

Other Objects (12)

Automated defect detection and evaluation in X-ray CT images

Automated defect detection and evaluation in X-ray CT images

Electronic Reference Images for Flaw Indications in Welds and Castings

Tubes

Tubes, Bertha

Tubes, Ernst

PECTINARIAN TUBES

Tubes, Bernard

Tubes, Hermann

Measurement of Focal Spots of X-ray Tubes Using a CT Reconstruction Approach on Edge Images of Large Holes and Comparison to Pinhole Imaging

Study on relevant factors influencing the strength of weld line defect in micro injection molding process

Study on relevant factors influencing the strength of weld line defect in micro injection molding process

Automated defect detection and evaluation in X-ray CT images

Automated defect detection and evaluation in X-ray CT images

Electronic Reference Images for Flaw Indications in Welds and Castings

Tubes

Tubes, Bertha

Tubes, Ernst

PECTINARIAN TUBES

Tubes, Bernard

Tubes, Hermann

Measurement of Focal Spots of X-ray Tubes Using a CT Reconstruction Approach on Edge Images of Large Holes and Comparison to Pinhole Imaging

Study on relevant factors influencing the strength of weld line defect in micro injection molding process

Study on relevant factors influencing the strength of weld line defect in micro injection molding process

Automated defect detection and evaluation in X-ray CT images

Automated defect detection and evaluation in X-ray CT images

Electronic Reference Images for Flaw Indications in Welds and Castings

Tubes

Tubes, Bertha

Tubes, Ernst

PECTINARIAN TUBES

Tubes, Bernard

Tubes, Hermann

Measurement of Focal Spots of X-ray Tubes Using a CT Reconstruction Approach on Edge Images of Large Holes and Comparison to Pinhole Imaging

Study on relevant factors influencing the strength of weld line defect in micro injection molding process

Study on relevant factors influencing the strength of weld line defect in micro injection molding process

Related objects

Reset password