Automatic visual inspection: An approach with multi-instance learning

One of the industrial applications of computer vision is automatic visual inspection. In the last decade, standard supervised learning methods have been used to detect defects in different kind of products. These methods are trained with a set of images where every image has to be manually segmented...

Full description

Autores:
Tipo de recurso:
Fecha de publicación:
2016
Institución:
Universidad de Medellín
Repositorio:
Repositorio UDEM
Idioma:
eng
OAI Identifier:
oai:repository.udem.edu.co:11407/3141
Acceso en línea:
http://hdl.handle.net/11407/3141
Palabra clave:
Automatic visual inspection
Defect detection
Multi-instance learning
Pattern recognition
Weak labels
Computer vision
Inspection
Pattern recognition
Automatic visual inspection
Automatic visual inspection systems
Defect detection
Multi-instance learning
Receiver operating characteristic curves
Supervised classifiers
Supervised learning methods
Weak labels
Defects
Rights
restrictedAccess
License
http://purl.org/coar/access_right/c_16ec