Application of recurrent neural network for multi-step full-color image segmentation

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

Abstract

Possibility of application of a recurrent neural network for segmentation of full-color images based on a clustering of color components is considered. Questions of multi-step segmentation of such images in different color models are discussed. Experimental results on multi-step segmentation of images are presented in the RGB and YUV color spaces.

Original language	English
Title of host publication	8th International Forum on Strategic Technology 2013, IFOST 2013 - Proceedings
Pages	221-224
Number of pages	4
Volume	2
DOIs	https://doi.org/10.1109/IFOST.2013.6616891
Publication status	Published - 2013
Event	8th International Forum on Strategic Technology, IFOST 2013 - Ulaanbaatar, Mongolia Duration: 28 Jun 2013 → 1 Jul 2013

Conference

Conference	8th International Forum on Strategic Technology, IFOST 2013
Country	Mongolia
City	Ulaanbaatar
Period	28.6.13 → 1.7.13

Fingerprint

Recurrent neural networks

Image segmentation

Color

Keywords

clustering
color space
Image
pixel
point map
recurrent neural network
RGB
segmentation
YUV

ASJC Scopus subject areas

Computer Networks and Communications
Software

Cite this

Nemirovskiy, V. B., & Stoyanov, A. K. (2013). Application of recurrent neural network for multi-step full-color image segmentation. In 8th International Forum on Strategic Technology 2013, IFOST 2013 - Proceedings (Vol. 2, pp. 221-224). [6616891] https://doi.org/10.1109/IFOST.2013.6616891

Application of recurrent neural network for multi-step full-color image segmentation. / Nemirovskiy, V. B.; Stoyanov, A. K.

8th International Forum on Strategic Technology 2013, IFOST 2013 - Proceedings. Vol. 2 2013. p. 221-224 6616891.

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

Nemirovskiy, VB & Stoyanov, AK 2013, Application of recurrent neural network for multi-step full-color image segmentation. in 8th International Forum on Strategic Technology 2013, IFOST 2013 - Proceedings. vol. 2, 6616891, pp. 221-224, 8th International Forum on Strategic Technology, IFOST 2013, Ulaanbaatar, Mongolia, 28.6.13. https://doi.org/10.1109/IFOST.2013.6616891

Nemirovskiy VB , Stoyanov AK. Application of recurrent neural network for multi-step full-color image segmentation. In 8th International Forum on Strategic Technology 2013, IFOST 2013 - Proceedings. Vol. 2. 2013. p. 221-224. 6616891 https://doi.org/10.1109/IFOST.2013.6616891

Nemirovskiy, V. B. ; Stoyanov, A. K. / Application of recurrent neural network for multi-step full-color image segmentation. 8th International Forum on Strategic Technology 2013, IFOST 2013 - Proceedings. Vol. 2 2013. pp. 221-224

@inproceedings{3c62167abb66462fb1938041846ea6a5,

title = "Application of recurrent neural network for multi-step full-color image segmentation",

abstract = "Possibility of application of a recurrent neural network for segmentation of full-color images based on a clustering of color components is considered. Questions of multi-step segmentation of such images in different color models are discussed. Experimental results on multi-step segmentation of images are presented in the RGB and YUV color spaces.",

keywords = "clustering, color space, Image, pixel, point map, recurrent neural network, RGB, segmentation, YUV",

author = "Nemirovskiy, {V. B.} and Stoyanov, {A. K.}",

year = "2013",

doi = "10.1109/IFOST.2013.6616891",

language = "English",

isbn = "9781479909315",

volume = "2",

pages = "221--224",

booktitle = "8th International Forum on Strategic Technology 2013, IFOST 2013 - Proceedings",

}

TY - GEN

T1 - Application of recurrent neural network for multi-step full-color image segmentation

AU - Nemirovskiy, V. B.

AU - Stoyanov, A. K.

PY - 2013

Y1 - 2013

N2 - Possibility of application of a recurrent neural network for segmentation of full-color images based on a clustering of color components is considered. Questions of multi-step segmentation of such images in different color models are discussed. Experimental results on multi-step segmentation of images are presented in the RGB and YUV color spaces.

AB - Possibility of application of a recurrent neural network for segmentation of full-color images based on a clustering of color components is considered. Questions of multi-step segmentation of such images in different color models are discussed. Experimental results on multi-step segmentation of images are presented in the RGB and YUV color spaces.

KW - clustering

KW - color space

KW - Image

KW - pixel

KW - point map

KW - recurrent neural network

KW - RGB

KW - segmentation

KW - YUV

UR - http://www.scopus.com/inward/record.url?scp=84887921454&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84887921454&partnerID=8YFLogxK

U2 - 10.1109/IFOST.2013.6616891

DO - 10.1109/IFOST.2013.6616891

M3 - Conference contribution

AN - SCOPUS:84887921454

SN - 9781479909315

VL - 2

SP - 221

EP - 224

BT - 8th International Forum on Strategic Technology 2013, IFOST 2013 - Proceedings

ER -

Access to Document

10.1109/IFOST.2013.6616891