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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| المؤلف الرئيسي: | |
| مؤلف مشترك: | |
| مؤلفون آخرون: | |
| الملخص: | 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 |
| اللغة: | الإنجليزية |
| منشور في: |
2013
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://dx.doi.org/10.1109/IFOST.2013.6616891 |
| التنسيق: | الكتروني فصل الكتاب |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=645353 |
| الملخص: | 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 |
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| DOI: | 10.1109/IFOST.2013.6616891 |