On binarization of images at the pavement defects recognition

Boris Shumilov, Yuliya Gerasimova, Anton Makarov

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

3 Scopus citations

Abstract

Allocation of object borders is the one of the most important tasks at pavement damages recognition. They contain exhaustive information on it's form, for the subsequent analysis. The method of binarization of the initial image copes with this task. But this process is characterized by existence of a large number of distortions: washing out, gaps and loss of objects integrity, emergence of noise in homogeneous areas. Demand of the mistakes elimination has led to emergence of a large count of binarization methods. The choice of a binarization method and search of the optimum (for some set of parameters) algorithm influences the algorithms applied further to the image analysis. In this article we consider the most popular and modern binarization methods concerning problems of recognition of pavement damages.

Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE International Conference on Electrical Engineering and Photonics, EExPolytech 2018
EditorsE. Velichko
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages107-110
Number of pages4
ISBN (Electronic)9781538681220
DOIs
StatePublished - 5 Dec 2018
Event2018 IEEE International Conference on Electrical Engineering and Photonics, EExPolytech 2018 - St. Petersburg, Russian Federation
Duration: 22 Oct 201823 Oct 2018

Conference

Conference2018 IEEE International Conference on Electrical Engineering and Photonics, EExPolytech 2018
CountryRussian Federation
CitySt. Petersburg
Period22/10/1823/10/18

Scopus subject areas

  • Electrical and Electronic Engineering
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

Keywords

  • binarization
  • edge detection
  • highways
  • pavement defects recognition

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