A kernel-based multi-feature image representation for histopathology image classification
This paper presents a novel strategy for building a high-dimensional feature space to represent histopathology image contents. Histogram features, related to colors, textures and edges, are combined together in a unique image representation space using kernel functions. This feature space is further...
- Autores:
-
Moreno, J Carlos
Caicedo, J. Carlos
González, F
- 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/31759
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/31759
http://bdigital.unal.edu.co/21839/
http://bdigital.unal.edu.co/21839/2/
- Palabra clave:
- Automatic image annotation
machine learning
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional