Edge detection using neural network committee

Diego Oliva, Demin Anton, Demeshko Maria

Research output: Contribution to conferencePaper

Abstract

This article considers edge detection using neural network approach, and describes the integration of neural networks into a committee. The novelty of the proposed technique comes from two ideas: firstly, since the training set describes a solution, the proposed algorithm is able to detect multidirectional edges on noised image. Secondly, to increase the accuracy of detection, neural networks were combined into a committee.

Original languageEnglish
Pages66-69
Number of pages4
Publication statusPublished - 2018
Externally publishedYes
Event28th International Conference on Computer Graphics and Vision, GraphiCon 2018 - Tomsk, Russian Federation
Duration: 24 Sep 201827 Sep 2018

Conference

Conference28th International Conference on Computer Graphics and Vision, GraphiCon 2018
CountryRussian Federation
CityTomsk
Period24.9.1827.9.18

Keywords

  • Committee classification
  • Digital image
  • Edge detection
  • Neural network
  • Neural network committee

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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  • Cite this

    Oliva, D., Anton, D., & Maria, D. (2018). Edge detection using neural network committee. 66-69. Paper presented at 28th International Conference on Computer Graphics and Vision, GraphiCon 2018, Tomsk, Russian Federation.