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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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 languageEnglish
Title of host publication8th International Forum on Strategic Technology 2013, IFOST 2013 - Proceedings
Pages221-224
Number of pages4
Volume2
DOIs
Publication statusPublished - 2013
Event8th International Forum on Strategic Technology, IFOST 2013 - Ulaanbaatar, Mongolia
Duration: 28 Jun 20131 Jul 2013

Conference

Conference8th International Forum on Strategic Technology, IFOST 2013
CountryMongolia
CityUlaanbaatar
Period28.6.131.7.13

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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

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