An iconic and semantic content based retrieval system for histological images

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

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Detail(s)

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
Publication statusPublished - 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

Title4th International Conference on Visual Information Systems, VISUAL 2000
PlaceFrance
CityLyon
Period2 - 4 November 2000

Link(s)

DOI

DOI
Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-84916604507&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(054a98ac-06cd-4545-9aef-4ec2716e673d).html

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.

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Publication fingerprints text

100
images INIS
100
retrieval systems INIS
100
Histopathological I... Keyphrases
100
Content-based Retri... Keyphrases
100
Semantic Content Keyphrases
100
Retrieval System Keyphrases
100
Semantics Computer Science
100
Content Based Retri... Computer Science
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Histological Image Computer Science
100
Information Retriev... Computer Science
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Citation Format(s)

[ RIS ] [ BibTeX ]
An iconic and semantic content based retrieval system for histological images. / Lam, Ringo W. K.; Cheung, Kent K. T.; Ip, Horace H. S. et al.
Advances in Visual Information Systems: 4th International Conference, VISUAL 2000, Proceedings. ed. / Robert Laurini. Vol. 1929 Springer Verlag, 2000. p. 384-395 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1929).

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