Application of recurrent neural network for multi-step full-color image segmentation; The 8th International Forum on Strategic Technology (IFOST-2013), June 28 - July 1, 2013, Ulaanbaatar, Mongolia; Vol. 2
| Parent link: | The 8th International Forum on Strategic Technology (IFOST-2013), June 28 - July 1, 2013, Ulaanbaatar, Mongolia: [proceedings]/ Mongolian University of Science and Technology.— , 2013 Vol. 2.— 2013.— [P. 221-224] |
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| Summary: | Title screen 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. [References: 6 tit.] Режим доступа: по договору с организацией-держателем ресурса |
| Sprog: | engelsk |
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2013
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| Online adgang: | http://dx.doi.org/10.1109/IFOST.2013.6616891 |
| Format: | xMaterials Electronisk Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=645353 |
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| 200 | 1 | |a Application of recurrent neural network for multi-step full-color image segmentation |f V. B. Nemirovskiy, A. K. Stoyanov | |
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| 330 | |a 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. | ||
| 330 | |a [References: 6 tit.] | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | |t The 8th International Forum on Strategic Technology (IFOST-2013), June 28 - July 1, 2013, Ulaanbaatar, Mongolia |o [proceedings] |o in 2 vol. |f Mongolian University of Science and Technology |d 2013 | ||
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