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An iconic and semantic content based retrieval system for histological images

  • Ringo W. K. Lam
  • , Kent K. T. Cheung
  • , Horace H. S. Ip
  • , Lilian H. Y. Tang
  • , R. Hanka

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

This paper describes an intelligent image retrieval system based on iconic and semantic content of histological images. The system first divides an image into a set of subimages. Then the iconic features are derived from primitive features of color histogram, texture and second order statistics of the subimages. These features are then passed to a high level semantic reasoning engine, which generates hypotheses and requests a number of specific fine feature detectors for verification. After iterating a certain number of cycles, a final histological label map is decided for the submitted image. The system may then retrieve images based on either iconic or semantic content. Annotation is also generated for each image processed.
Original languageEnglish
Title of host publicationAdvances in Visual Information Systems
Subtitle of host publication4th International Conference, VISUAL 2000, Proceedings
EditorsRobert Laurini
PublisherSpringer Verlag
Pages384-395
Volume1929
ISBN (Print)3540411771
DOIs
Publication statusPublished - 2000
Event4th International Conference on Visual Information Systems, VISUAL 2000 - Lyon, France
Duration: 2 Nov 20004 Nov 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1929
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Visual Information Systems, VISUAL 2000
PlaceFrance
CityLyon
Period2/11/004/11/00

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