Publicado

2008-01-01

METRIC INDEXING FOR CONTENT-BASED MEDICAL IMAGE RETRIEVAL

Palabras clave:

Systems and Information Organization, Content-based Image Retrieval, Information Retrieval, LAESA, Medical Images, Metric Indexing (es)

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Autores/as

  • EDWIN A. NIÑO Ing. Intelligent Systems Research Lab, National University of Colombia Branch Bogota
  • JUAN C. CAICEDO MSc. Bioingenium Research Lab, National University of Colombia Branch Bogota
  • FABIO A. GONZÁLEZ PhD. Bioingenium Research Lab, National University of Colombia Branch Bogota
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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Cómo citar

NIÑO, E. A., CAICEDO, J. C., & GONZÁLEZ, F. A. (2008). METRIC INDEXING FOR CONTENT-BASED MEDICAL IMAGE RETRIEVAL. Avances En Sistemas E Informática, 5(1). https://revistas.unal.edu.co/index.php/avances/article/view/9975

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