SMIRE: Similar medical image retrieval engine

Pei Cheng Cheng*, Been Chian Chien, Hao Ren Ke, Wei Pang Yang

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


This paper aims at finding images that are similar to a medical image example query. We propose several image features based on wavelet coefficients, including color histogram, gray-spatial histogram, coherence moment, and gray correlogram, to facilitate the retrieval of similar medical images. The initial retrieval results are obtained via visual feature analysis. An automatic feedback mechanism that clusters visually and textually similar images among these initial results was also proposed to help refine the query. In the ImageCLEF 2004 evaluation, the experimental results show that our system is excellence in mean average precision.

Original languageEnglish
Pages (from-to)750-760
Number of pages11
JournalLecture Notes in Computer Science
Publication statusPublished - 2005
Externally publishedYes
Event5th Workshop of the Cross-Language Evaluation Forum, CLEF 2004: Multilingual Information Access for Text, Speech and Images - Bath, United Kingdom
Duration: 2004 Sept 152004 Sept 17

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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