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

zu Verbundenen Objekten

Standort: Deutsche Nationalbibliothek Frankfurt am Main

Umfang: Online-Ressource, 1 online resource.

Sprache: Englisch

Erschienen in: 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

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

Beteiligte Personen und Organisationen: SpringerLink (Online service)

DOI: 10.1007/s00170-023-11151-4

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

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

Letzte Aktualisierung: 14.08.2025, 10:46 MESZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Original beim Datenpartner anzeigen

Beteiligte

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

Ähnliche Objekte (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

Informationen zur Registrierung von Kultur- und Wissenseinrichtungen finden Sie hier.

Felder mit * müssen ausgefüllt werden.

Benutzername*

Bitte geben Sie Ihren Benutzernamen ein

E-Mail*

Bitte geben Sie Ihre E-Mail ein

Bitte füllen Sie dieses Feld nicht aus

Vorname

Nachname

Passwort*

Bitte geben Sie Ihr Passwort ein

Passwort bestätigen*

Bitte geben Sie das gleiche Passwort ein

Ich habe die Nutzungsbedingungen und die Datenschutzerklärung zur Erhebung persönlicher Daten gelesen und stimme ihnen zu. *

Dieses Feld ist ein Pflichtfeld.

Ich möchte den Newsletter der Deutschen Digitalen Bibliothek abonnieren. Siehe Informationen zum Newsletter-Abonnement.

Benutzerkonto angelegt

Ihr „Meine DDB“-Konto wurde erfolgreich angelegt. Bevor Sie sich in Ihrem Konto anmelden können, müssen Sie auf den Bestätigungslink in der Nachricht klicken, die wir gerade an die von Ihnen angegebene E-Mail-Adresse geschickt haben

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

Angaben zum Objekt

Verweise und Beziehungen

Beteiligte, Orts- und Zeitangaben

Weitere Informationen

Datenpartner

Beteiligte

Ähnliche Objekte (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

Verbundene Objekte

Passwort zurücksetzen