Perceptual grouping of natural images for CBIR

Wardhani, Aster W. & Gonzalez, Ruben (1999) Perceptual grouping of natural images for CBIR. In Fifth International Symposium on Signal Processing and its Applications, ISSPA'99. 22-25 August Brisbane, Australia, 22-25 August 1999.

View at publisher


In current developments of CBIR system, it is desirable to design a computer program that can index the content of an image automatically into a set of perceptually significant components. Results from existing image segmentation techniques are not sufficient to represent the content of an image. Further grouping is required to produce more meaningful segmentation. This paper describes our approach to implement Gestalt principles for region grouping. Results from image segmentation are further grouped into regions representing major components of image content.

Impact and interest:

3 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

366 since deposited on 14 Mar 2005
111 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 772
Item Type: Conference Paper
Refereed: Yes
Additional Information: Note: Aster Wardhani was based at Griffith University at the time of publication.
DOI: 10.1109/ISSPA.1999.815822
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 1999 IEEE and International Symposium Signal Processing and Application
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 14 Mar 2005 00:00
Last Modified: 09 Jun 2010 12:23

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page