Needle shape quality control by shadowgraphic image processing - Université de Bourgogne Accéder directement au contenu
Article Dans Une Revue Optical Engineering Année : 2011

Needle shape quality control by shadowgraphic image processing

Résumé

We propose a needle-shape quality-control method. To this end, we have devised a new acquisition system that combines a camera and a backlight. Needle measurements are carried out at a micrometric scale using shadowgraphic image processing. Our method not only distinguishes good needles from bad ones, but also allows classifying flawed needles into various categories of defects. This classification is important because some categories of defects can affect the entire production, whereas others do not. The results of our needle-shape quality-control method are validated using real samples directly off the manufacturing line. Needles are correctly classified at >97%, and accurate measurements on global shape characteristics such as straightness and sharpness are obtained.
Fichier principal
Vignette du fichier
Needle_Shape_Quality_Control_by_Shadowgraph_Image_Processing.pdf (512.1 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00777460 , version 1 (17-01-2013)

Identifiants

Citer

Fabrice Mairesse, Tadeusz Sliwa, Michael Roy, Yvon Voisin. Needle shape quality control by shadowgraphic image processing. Optical Engineering, 2011, 50 (2), ⟨10.1117/1.3541801⟩. ⟨hal-00777460⟩
196 Consultations
877 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More