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 | |
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 |
Keywords
- clustering
- color space
- Image
- pixel
- point map
- recurrent neural network
- RGB
- segmentation
- YUV
ASJC Scopus subject areas
- Computer Networks and Communications
- Software