The full text of this article/chapter:
Image segmentation using pulse coupled neural networks
by Panos Liatsis, Bo Li, Tomislav Kos, Ida Srdic
12th International Workshop on Systems, Signals and Image Processing (IWSSIP), Vol. 1, No. 1, 2005
Abstract: 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.
is only available to individual subscribers or to users at subscribing institutions.
Pay per view: If you are not a Subscriber and you just want to read the full contents of this article, please click here to purchase online access to the full-text of this article. Please allow 3 days + mailing time. Current price for article is US$38.00
Members of the Editorial Board or subscribers of the 12th International Workshop on Systems, Signals and Image Processing (IWSSIP), that have been redirected here, please click here if you have IP-authentication access, or check if you have a registered username/password subscription with Inderscience. If that is the case, please Login: