Orders > Conference proceedings > 12th international workshop on systems, signals and image processing
(from Chapter 1: Invited Addresses and Tutorials on Signals, Coding, Systems and Intelligent Techniques)
| Full Citation and Abstract
|
Title: |
Image segmentation using pulse coupled neural networks |
|
Author(s): |
Panos Liatsis, Bo Li, Tomislav Kos, Ida Srdic |
|
Address: |
Information and Biomedical Engineering Centre,
School of Engineering and Mathematical Sciences
City University, London, United Kingdom
Information and Biomedical Engineering Centre,
School of Engineering and Mathematical Sciences
City University, London, United Kingdom
Faculty of Electrical Engineering and Computing,
University of Zagreb, Zagreb, Croatia
Croatian Telecom, Zagreb, Croatia p.liatsis @ city.ac.uk, b.li @ city.ac.uk, t.kos @ fer.hr, ida.srdic @ ht.hr |
|
Reference: |
SSIP-SP1, 2005 pp. 129 - 133 |
|
Abstract/ Summary |
This manuscript deals with the application of Seeded Region Growing (SRG) and Pulse Coupled Neural Networks (PCNN) in image segmentation. SRG selects the initial seed points for the initialisation of the algorithm. During this process, the neighbours of the seed pixels are compared to certain similarity criteria and are appropriately merged to regions. PCNN have recently become popular in image processing applications. They have a dedicated architecture consisting of feeding/linking fields and spike generator and do not require training. The performance of the two techniques will be thoroughly investigated with applications to cDNA microarray images. |
|
|
|
We welcome your comments about this Article |
|