Pregled bibliografske jedinice broj: 207095
Image segmentation using pulse coupled neural networks
Image segmentation using pulse coupled neural networks // Proceedings of the 12th International Workshop on Systems, Signals and Image Processing, IWSSIP 2005 / Karras, Dimitrios A. ; Voliotis, Stamatios ; Rangoussi, Maria ; Kokkosis, Apostolos (ur.).
Ženeva: Inderscience Enterprises Ltd, 2005. str. 129-133 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 207095 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Image segmentation using pulse coupled neural networks
Autori
Liatsis, Panos ; Li, Bo ; Kos, Tomislav ; Srdić, Ida
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 12th International Workshop on Systems, Signals and Image Processing, IWSSIP 2005
/ Karras, Dimitrios A. ; Voliotis, Stamatios ; Rangoussi, Maria ; Kokkosis, Apostolos - Ženeva : Inderscience Enterprises Ltd, 2005, 129-133
Skup
12th International Workshop on Systems, Signals and Image Processing
Mjesto i datum
Halkida, Grčka, 22.09.2005. - 24.09.2005
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Image Segmentation; Seeded Region Growing; Pulse Coupled Neural Networks
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
