Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29954
Title: A real-time scene segmentation system using Solely Excitatory Oscillator Networks (SEON)
Authors: Li, GCL
Lee, RST
Keywords: Agent technology
Image segmentation
Oscillator network
SEON
Watershed segmentation
Issue Date: 2005
Publisher: Springer
Source: Journal of intelligent manufacturing, 2005, v. 16, no. 6, p. 669-678 How to cite?
Journal: Journal of Intelligent Manufacturing 
Abstract: Scene segmentation is one of the most important tasks in research and commercial applications. With the rapid development of Internet, there is an increasing demand for real-time, mobile and autonomous multi-media system to increase the user-friendliness of e-shopping experience and to provide value-added e-services. Traditional scene segmentation techniques, which are mainly sequential and offline, cannot segment images in a real-time manner. This paper introduces a real-time, multi-media system known as Intelligent Java Agent Development Environment (iJADE) Scene Segmentater-an agent-based scene segmentation system using Solely Excitatory Oscillator networks (SEON) for real-time scene segmentation. It is based on an intelligent multi-agent based model, namely, iJADE, which supports various e-commerce applications. Using a gallery of 1200 images, our system shows an average segmentation rate of over 98%. iJADE Scene Segmentater segments faster and more powerfully than other contemporary image segmentation methods. The improvement in speed is more significant for large images.
URI: http://hdl.handle.net/10397/29954
ISSN: 0956-5515
DOI: 10.1007/s10845-005-4370-2
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

2
Last Week
0
Last month
0
Citations as of Dec 1, 2017

WEB OF SCIENCETM
Citations

2
Last Week
0
Last month
0
Citations as of Nov 9, 2017

Page view(s)

38
Last Week
2
Last month
Checked on Dec 11, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.