Perceptual grouping of natural images for CBIR
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Description
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.
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| ID Code: | 772 |
|---|---|
| Item Type: | Contribution to conference (Paper/Presentation) |
| Refereed: | No |
| Additional Information: | Note: Aster Wardhani was based at Griffith University at the time of publication. |
| DOI: | 10.1109/ISSPA.1999.815822 |
| Pure ID: | 57183031 |
| Divisions: | Past > QUT Faculties & Divisions > Faculty of Science and Technology Past > Research Centres > CRC for Diagnostics |
| 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: | 03 Mar 2024 19:40 |
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