University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Region growing segmentation approach for image indexing and retrieval

Irianto, S, Jiang, JM and Ipson, SS (2007) Region growing segmentation approach for image indexing and retrieval Proceedings of the International Symposium CompIMAGE 2006 - Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications. pp. 227-231.

Full text not available from this repository.

Abstract

We use region growing technique to segment the images. Based on the segmented region, we then select the size of the region to construct indexing keys. By using region growing technique on DCT image we reduce the number of region which is on the segmented regions only. Based on these regions, we then construct the indexing keys to match the images. Our technique will reduce the process time of constructing indexing keys. The indexing keys will then be constructed by calculating the regions distance. Our proposed of recursive region growing is not a new technique but its application on DCT images to build indexing keys is quite new and has not been presented by many other authors. © 2007 Taylor & Francis Group.

Item Type: Article
Authors :
NameEmailORCID
Irianto, SUNSPECIFIEDUNSPECIFIED
Jiang, JMjianmin.jiang@surrey.ac.ukUNSPECIFIED
Ipson, SSUNSPECIFIEDUNSPECIFIED
Date : 1 December 2007
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:25
Last Modified : 17 May 2017 15:03
URI: http://epubs.surrey.ac.uk/id/eprint/835276

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800