Colour and texture features for image retrieval in granite industry
In this paper we study the feasibility of developing a search engine capable of retrieving images from a granite image database based on a query image that is similar to the intended targets. The main focus was on the determination of the set of colour and/or texture features which yields highest re...
- Autores:
-
Álvarez, Marcos J.
González, Elena
Bianconi, Francesco
Armesto González, Julia
Fernández, Antonio
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2010
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/28153
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/28153
http://bdigital.unal.edu.co/18201/
- Palabra clave:
- granite
visual appearance
colour
texture
image retrieval systems
CBIR.
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional