Adaptive color histogram indexing

Vincent To Yee Ng, David W. Cheung, Ada Fu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)


In this paper, we develop an indexing scheme for medical images. In general, for a given medical image, there are objects which are clinically important amongst the rest. We name the objects as the dominant objects. Our proposed index is composed of three parts: (1) dominant objects in images are located; (2) each image will have an associated R-tree which is constructed by its dominant objects; and (3) an R-tree that clusters similar images together. To demonstrate the effectiveness of the index developed, we use images of skin lesions as the image data. Our initial experiments give promising results for image retrieval.
Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Number of pages10
Publication statusPublished - 1 Dec 1995
EventDigital Image Storage and Archiving Systems - Philadelphia, PA, United States
Duration: 25 Oct 199526 Oct 1995


ConferenceDigital Image Storage and Archiving Systems
Country/TerritoryUnited States
CityPhiladelphia, PA

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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