Metric indexing for content-based medical image retrieval
The paper proposes an indexing method for fast content-based retrieval in an image repository. The method is based on a metric-indexing strategy that avoids calculating the distance from the query to all the images in the repository. The proponed indexing method is tested on a pathology image Collec...
- Autores:
-
Niño, Edwin A.
Caicedo Rueda, Juan Carlos
González Osorio, Fabio Augusto
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2008
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/24333
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/24333
http://bdigital.unal.edu.co/15370/
- Palabra clave:
- Systems and Information Organization
Content-based Image Retrieval
Information Retrieval
LAESA
Medical Images
Metric Indexing
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
| Summary: | The paper proposes an indexing method for fast content-based retrieval in an image repository. The method is based on a metric-indexing strategy that avoids calculating the distance from the query to all the images in the repository. The proponed indexing method is tested on a pathology image Collection comparing its performance against sequential scanning indexing. The results show that the metric indexing method improves the access time by a factor of 10, without a signi?cant sacr i?ce on precision. |
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