Cargando…
A Novel Machine Vision System for the Inspection of Micro-Spray Nozzle
In this study, we present an application of neural network and image processing techniques for detecting the defects of an internal micro-spray nozzle. The defect regions were segmented by Canny edge detection, a randomized algorithm for detecting circles and a circle inspection (CI) algorithm. The...
Autores principales: | Huang, Kuo-Yi, Ye, Yu-Ting |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4541833/ https://www.ncbi.nlm.nih.gov/pubmed/26131678 http://dx.doi.org/10.3390/s150715326 |
Ejemplares similares
-
Prediction of the Impact of Nozzle Geometry on Spray
Characteristics
por: Mohamed, Mahmoud Abd El-Aziz, et al.
Publicado: (2021) -
Asymmetric Spray
Characteristics According to Y-Jet
Nozzle Orifice Shape and Spray Conditions
por: Lee, Sang Ji, et al.
Publicado: (2023) -
The effect of adjuvants on spray droplet size from hydraulic nozzles
por: Sijs, Rick, et al.
Publicado: (2020) -
An Automatic Surface Defect Inspection System for Automobiles Using Machine Vision Methods
por: Zhou, Qinbang, et al.
Publicado: (2019) -
Investigation of Needle Motion Profile Effect on Diesel Spray in Near-Nozzle Field
por: Gao, Ya, et al.
Publicado: (2022)