Medical image retrieval by color content

Vincent To Yee Ng, David Cheung, Ada Fu

Research output: Journal article publicationConference articleAcademic researchpeer-review

5 Citations (Scopus)


In this paper, we develop an indexing scheme for medical images. In general, for a given medical image, there is one object which is clinically important amongst the rest. We name this object the dominant object. Our proposed index is composed of three parts: (1) dominant objects in images are standardized; (2) each image will have its own quadtree constructed which depends on the color composition and the color variation in the image; and (3) an R-tree that supports the retrieval of color images. To demonstrate the effectiveness of the index developed, we use images of skin lesions as the image data. Our initial experiments gives promising results for image retrieval.
Original languageEnglish
Pages (from-to)1980-1985
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Publication statusPublished - 1 Dec 1995
EventProceedings of the 1995 IEEE International Conference on Systems, Man and Cybernetics. Part 2 (of 5) - Vancouver, BC, Canada
Duration: 22 Oct 199525 Oct 1995

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture


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