Perceptual grouping of natural images for CBIR

Author

Wardhani, Aster ; Gonzalez, Ruben

Author_Institution

Sch. of Inf. Technol., Griffith Univ., Brisbane, Qld., Australia

Volume

2

fYear

1999

fDate

1999

Firstpage

923

Abstract

In current developments of the 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

Keywords

feature extraction; image representation; image segmentation; CBIR system; Gestalt principles; computer program; edge extraction; image content analysis system; image content indexing; image content representation; image segmentation; natural images; perceptual grouping; perceptually significant components; region grouping; region growing; Australia; Gold; Image analysis; Image color analysis; Image motion analysis; Image segmentation; Information technology; Motion analysis; Postal services; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on

Conference_Location

Brisbane, Qld.

Print_ISBN

1-86435-451-8

Type

conf

DOI

10.1109/ISSPA.1999.815822

Filename

815822