Ladle pouring process parameter and quality estimation using Mask R-CNN and contrast-limited adaptive histogram equalisation

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource, 1 online resource.

Language: Englisch

Bibliographic citation: Ladle pouring process parameter and quality estimation using Mask R-CNN and contrast-limited adaptive histogram equalisation ; volume:126 ; number:3-4 ; day:11 ; month:3 ; year:2023 ; pages:1397-1416 ; date:5.2023
The international journal of advanced manufacturing technology ; 126, Heft 3-4 (11.3.2023), 1397-1416, 5.2023

Creator: O’Donovan, Callum
Popov, Ivan
Todeschini, Grazia
Giannetti, Cinzia

Contributor: SpringerLink (Online service)

DOI: 10.1007/s00170-023-11151-4

URN: urn:nbn:de:101:1-2023082921055447702837

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:46 AM CEST

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

O’Donovan, Callum
Popov, Ivan
Todeschini, Grazia
Giannetti, Cinzia
SpringerLink (Online service)

Other Objects (12)

Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization

An innovative technique for contrast enhancement of computed tomography images using normalized gamma-corrected contrast-limited adaptive histogram equalization

Mask R-CNN for quality control of table olives

New particle formation event detection with Mask R-CNN

BUILDING SEGMENTATION FROM AIRBORNE VHR IMAGES USING MASK R-CNN

Remote sensing image building detection method based on Mask R-CNN

Using weighted dynamic range for histogram equalization to improve the image contrast

Mask R-CNN Outperforms U-Net in Instance Segmentation for Overlapping Cells

Segmentation of mine overburden dump particles from images using Mask R CNN

$Deep learning application of vertebral compression fracture detection using mask R-CNN$

Deep learning application of vertebral compression fracture detection using mask R-CNN

Nested object detection using mask R-CNN: application to bee and varroa detection

Mask-R $$^2}$$ 2 CNN: a distance-field regression version of Mask-RCNN for fetal-head delineation in ultrasound images

Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization

An innovative technique for contrast enhancement of computed tomography images using normalized gamma-corrected contrast-limited adaptive histogram equalization

Mask R-CNN for quality control of table olives

New particle formation event detection with Mask R-CNN

BUILDING SEGMENTATION FROM AIRBORNE VHR IMAGES USING MASK R-CNN

Remote sensing image building detection method based on Mask R-CNN

Using weighted dynamic range for histogram equalization to improve the image contrast

Mask R-CNN Outperforms U-Net in Instance Segmentation for Overlapping Cells

Segmentation of mine overburden dump particles from images using Mask R CNN

$Deep learning application of vertebral compression fracture detection using mask R-CNN$

Deep learning application of vertebral compression fracture detection using mask R-CNN

Nested object detection using mask R-CNN: application to bee and varroa detection

Mask-R $$^2}$$ 2 CNN: a distance-field regression version of Mask-RCNN for fetal-head delineation in ultrasound images

Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization

An innovative technique for contrast enhancement of computed tomography images using normalized gamma-corrected contrast-limited adaptive histogram equalization

Mask R-CNN for quality control of table olives

New particle formation event detection with Mask R-CNN

BUILDING SEGMENTATION FROM AIRBORNE VHR IMAGES USING MASK R-CNN

Remote sensing image building detection method based on Mask R-CNN

Using weighted dynamic range for histogram equalization to improve the image contrast

Mask R-CNN Outperforms U-Net in Instance Segmentation for Overlapping Cells

Segmentation of mine overburden dump particles from images using Mask R CNN

$Deep learning application of vertebral compression fracture detection using mask R-CNN$

Deep learning application of vertebral compression fracture detection using mask R-CNN

Nested object detection using mask R-CNN: application to bee and varroa detection

Mask-R $$^2}$$ 2 CNN: a distance-field regression version of Mask-RCNN for fetal-head delineation in ultrasound images

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.

Ladle pouring process parameter and quality estimation using Mask R-CNN and contrast-limited adaptive histogram equalisation

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization

An innovative technique for contrast enhancement of computed tomography images using normalized gamma-corrected contrast-limited adaptive histogram equalization

Mask R-CNN for quality control of table olives

New particle formation event detection with Mask R-CNN

BUILDING SEGMENTATION FROM AIRBORNE VHR IMAGES USING MASK R-CNN

Remote sensing image building detection method based on Mask R-CNN

Using weighted dynamic range for histogram equalization to improve the image contrast

Mask R-CNN Outperforms U-Net in Instance Segmentation for Overlapping Cells

Segmentation of mine overburden dump particles from images using Mask R CNN

Deep learning application of vertebral compression fracture detection using mask R-CNN

Nested object detection using mask R-CNN: application to bee and varroa detection

Mask-R $$^2}$$ 2 CNN: a distance-field regression version of Mask-RCNN for fetal-head delineation in ultrasound images

Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization

An innovative technique for contrast enhancement of computed tomography images using normalized gamma-corrected contrast-limited adaptive histogram equalization

Mask R-CNN for quality control of table olives

New particle formation event detection with Mask R-CNN

BUILDING SEGMENTATION FROM AIRBORNE VHR IMAGES USING MASK R-CNN

Remote sensing image building detection method based on Mask R-CNN

Using weighted dynamic range for histogram equalization to improve the image contrast

Mask R-CNN Outperforms U-Net in Instance Segmentation for Overlapping Cells

Segmentation of mine overburden dump particles from images using Mask R CNN

Deep learning application of vertebral compression fracture detection using mask R-CNN

Nested object detection using mask R-CNN: application to bee and varroa detection

Mask-R $$^2}$$ 2 CNN: a distance-field regression version of Mask-RCNN for fetal-head delineation in ultrasound images

Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization

An innovative technique for contrast enhancement of computed tomography images using normalized gamma-corrected contrast-limited adaptive histogram equalization

Mask R-CNN for quality control of table olives

New particle formation event detection with Mask R-CNN

BUILDING SEGMENTATION FROM AIRBORNE VHR IMAGES USING MASK R-CNN

Remote sensing image building detection method based on Mask R-CNN

Using weighted dynamic range for histogram equalization to improve the image contrast

Mask R-CNN Outperforms U-Net in Instance Segmentation for Overlapping Cells

Segmentation of mine overburden dump particles from images using Mask R CNN

Deep learning application of vertebral compression fracture detection using mask R-CNN

Nested object detection using mask R-CNN: application to bee and varroa detection

Mask-R $$^2}$$ 2 CNN: a distance-field regression version of Mask-RCNN for fetal-head delineation in ultrasound images

Related objects

Reset password