Choosing the number of labels in image segmentation

Yonghuai Liu; J. H. Draper; Alan Philip Gay; Catherine Howarth; R. R. Martin

doi:10.1109/ETFA.2011.6059090

Choosing the number of labels in image segmentation

Yonghuai Liu, J. H. Draper, Alan Philip Gay, Catherine Howarth, R. R. Martin

Allbwn ymchwil: Cyfraniad at gynhadledd › Papur

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Image segmentation is a fundamental yet challenging step during image analysis. In this paper we propose a novel method for choosing the number of labels during automatic image segmentation. It minimizes an objective function based on the number of labels, the segmentation errors, and consistency of labels between neighboring pixels. An experimental study on representative data shows encouraging results.

Iaith wreiddiol	Saesneg
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1109/ETFA.2011.6059090
Statws	Cyhoeddwyd - 2011
Digwyddiad	Emerging Technologies and Factory Automation - Toulouse, Ffrainc Hyd: 05 Medi 2011 → 09 Medi 2011 Rhif y gynhadledd: 16

Cynhadledd

Cynhadledd	Emerging Technologies and Factory Automation
Teitl cryno	ETFA-2011
Gwlad/Tiriogaeth	Ffrainc
Dinas	Toulouse
Cyfnod	05 Medi 2011 → 09 Medi 2011

Mynediad at Ddogfen

10.1109/ETFA.2011.6059090

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Dolen barhaus

Ffeiliau eraill a chysylltiadau

http://hdl.handle.net/2160/10390

Dyfynnu hyn

@conference{d74d47884d664fd1b1e315b4f77335db,

title = "Choosing the number of labels in image segmentation",

abstract = "Image segmentation is a fundamental yet challenging step during image analysis. In this paper we propose a novel method for choosing the number of labels during automatic image segmentation. It minimizes an objective function based on the number of labels, the segmentation errors, and consistency of labels between neighboring pixels. An experimental study on representative data shows encouraging results.",

author = "Yonghuai Liu and Draper, {J. H.} and Gay, {Alan Philip} and Catherine Howarth and Martin, {R. R.}",

year = "2011",

doi = "10.1109/ETFA.2011.6059090",

language = "English",

note = "Emerging Technologies and Factory Automation, ETFA-2011 ; Conference date: 05-09-2011 Through 09-09-2011",

}

TY - CONF

T1 - Choosing the number of labels in image segmentation

AU - Liu, Yonghuai

AU - Draper, J. H.

AU - Gay, Alan Philip

AU - Howarth, Catherine

AU - Martin, R. R.

N1 - Conference code: 16

PY - 2011

Y1 - 2011

N2 - Image segmentation is a fundamental yet challenging step during image analysis. In this paper we propose a novel method for choosing the number of labels during automatic image segmentation. It minimizes an objective function based on the number of labels, the segmentation errors, and consistency of labels between neighboring pixels. An experimental study on representative data shows encouraging results.

AB - Image segmentation is a fundamental yet challenging step during image analysis. In this paper we propose a novel method for choosing the number of labels during automatic image segmentation. It minimizes an objective function based on the number of labels, the segmentation errors, and consistency of labels between neighboring pixels. An experimental study on representative data shows encouraging results.

UR - http://hdl.handle.net/2160/10390

U2 - 10.1109/ETFA.2011.6059090

DO - 10.1109/ETFA.2011.6059090

M3 - Paper

T2 - Emerging Technologies and Factory Automation

Y2 - 5 September 2011 through 9 September 2011

ER -

Choosing the number of labels in image segmentation

Crynodeb

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Mynediad at Ddogfen

Cysylltiad parhaol

Ffeiliau eraill a chysylltiadau

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