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...
- 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