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 |
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Title of host publication | 8th International Forum on Strategic Technology 2013, IFOST 2013 - Proceedings |
Pages | 221-224 |
Number of pages | 4 |
Volume | 2 |
DOIs | |
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 |
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Country | Mongolia |
City | Ulaanbaatar |
Period | 28.6.13 → 1.7.13 |
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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
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
}
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 -