Image segmentation using pulse coupled neural networks

Panos Liatsis; Bo Li; Tomislav Kos; Ida Srdic

Image segmentation using pulse coupled neural networks

Panos Liatsis, Bo Li, Tomislav Kos, Ida Srdic

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	British English
Title of host publication	IWSSIP 2005 - Proceedings of 12th International Workshop on Systems, Signals and Image Processing (SSIP-SPI, 2005)
Editors	D.A. Karras, S. Voliotis, M. Rangoussi, A. Kokkosis
Pages	127-131
Number of pages	5
State	Published - 2005
Event	IWSSIP 2005 - 12th International Workshop on Systems, Signals and Image Processing(SSIP-SPI, 2005) - Chalkida, Greece Duration: 22 Sep 2005 → 24 Sep 2005

Publication series

Name	IWSSIP 2005 - Proceedings of 12th International Workshop on Systems, Signals and Image Processing

Conference

Conference	IWSSIP 2005 - 12th International Workshop on Systems, Signals and Image Processing(SSIP-SPI, 2005)
Country/Territory	Greece
City	Chalkida
Period	22/09/05 → 24/09/05

Keywords

Image segmentation
Pulse coupled neural networks
Seeded region growing

Cite this

Liatsis, P., Li, B., Kos, T., & Srdic, I. (2005). Image segmentation using pulse coupled neural networks. In D. A. Karras, S. Voliotis, M. Rangoussi, & A. Kokkosis (Eds.), IWSSIP 2005 - Proceedings of 12th International Workshop on Systems, Signals and Image Processing (SSIP-SPI, 2005) (pp. 127-131). (IWSSIP 2005 - Proceedings of 12th International Workshop on Systems, Signals and Image Processing).

Liatsis, Panos ; Li, Bo ; Kos, Tomislav et al. / Image segmentation using pulse coupled neural networks. IWSSIP 2005 - Proceedings of 12th International Workshop on Systems, Signals and Image Processing (SSIP-SPI, 2005). editor / D.A. Karras ; S. Voliotis ; M. Rangoussi ; A. Kokkosis. 2005. pp. 127-131 (IWSSIP 2005 - Proceedings of 12th International Workshop on Systems, Signals and Image Processing).

@inproceedings{015c65915845464aa374080bacc1d54a,

title = "Image segmentation using pulse coupled neural networks",

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.",

keywords = "Image segmentation, Pulse coupled neural networks, Seeded region growing",

author = "Panos Liatsis and Bo Li and Tomislav Kos and Ida Srdic",

year = "2005",

language = "British English",

isbn = "0907776205",

series = "IWSSIP 2005 - Proceedings of 12th International Workshop on Systems, Signals and Image Processing",

pages = "127--131",

editor = "D.A. Karras and S. Voliotis and M. Rangoussi and A. Kokkosis",

booktitle = "IWSSIP 2005 - Proceedings of 12th International Workshop on Systems, Signals and Image Processing (SSIP-SPI, 2005)",

note = "IWSSIP 2005 - 12th International Workshop on Systems, Signals and Image Processing(SSIP-SPI, 2005) ; Conference date: 22-09-2005 Through 24-09-2005",

}

Liatsis, P, Li, B, Kos, T & Srdic, I 2005, Image segmentation using pulse coupled neural networks. in DA Karras, S Voliotis, M Rangoussi & A Kokkosis (eds), IWSSIP 2005 - Proceedings of 12th International Workshop on Systems, Signals and Image Processing (SSIP-SPI, 2005). IWSSIP 2005 - Proceedings of 12th International Workshop on Systems, Signals and Image Processing, pp. 127-131, IWSSIP 2005 - 12th International Workshop on Systems, Signals and Image Processing(SSIP-SPI, 2005), Chalkida, Greece, 22/09/05.

Image segmentation using pulse coupled neural networks. / Liatsis, Panos; Li, Bo; Kos, Tomislav et al.
IWSSIP 2005 - Proceedings of 12th International Workshop on Systems, Signals and Image Processing (SSIP-SPI, 2005). ed. / D.A. Karras; S. Voliotis; M. Rangoussi; A. Kokkosis. 2005. p. 127-131 (IWSSIP 2005 - Proceedings of 12th International Workshop on Systems, Signals and Image Processing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Image segmentation using pulse coupled neural networks

AU - Liatsis, Panos

AU - Li, Bo

AU - Kos, Tomislav

AU - Srdic, Ida

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - Image segmentation

KW - Pulse coupled neural networks

KW - Seeded region growing

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M3 - Conference contribution

AN - SCOPUS:32544459012

SN - 0907776205

SN - 9780907776208

T3 - IWSSIP 2005 - Proceedings of 12th International Workshop on Systems, Signals and Image Processing

SP - 127

EP - 131

BT - IWSSIP 2005 - Proceedings of 12th International Workshop on Systems, Signals and Image Processing (SSIP-SPI, 2005)

A2 - Karras, D.A.

A2 - Voliotis, S.

A2 - Rangoussi, M.

A2 - Kokkosis, A.

T2 - IWSSIP 2005 - 12th International Workshop on Systems, Signals and Image Processing(SSIP-SPI, 2005)

Y2 - 22 September 2005 through 24 September 2005

ER -

Liatsis P, Li B, Kos T, Srdic I. Image segmentation using pulse coupled neural networks. In Karras DA, Voliotis S, Rangoussi M, Kokkosis A, editors, IWSSIP 2005 - Proceedings of 12th International Workshop on Systems, Signals and Image Processing (SSIP-SPI, 2005). 2005. p. 127-131. (IWSSIP 2005 - Proceedings of 12th International Workshop on Systems, Signals and Image Processing).

Image segmentation using pulse coupled neural networks

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