A new colour image segmentation

Gustavo Scheleyer, CLAUDIO ALONSO CUBILLOS FIGUEROA, Gastón Lefranc, Román Osorio-Comparán, Ginno Millán

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

3 Scopus citations

Abstract

In this paper an unsupervised colour image segmentation algorithm is presented. This method combines the advantages of the approaches based on split&merge and region growing, and the use of the RGB and HSV colour representation models. The effectiveness of the proposed method has been verified by the implementation of the algorithm using three different testing images with homogeneous regions, spatially compact and continuous. It was observed that the proposed algorithm outperforms the other analysed techniques requiring shorter processing time when compared with the other analysed methods.

Original languageEnglish
Title of host publication2016 6th International Conference on Computers Communications and Control, ICCCC 2016
EditorsIoan Dzitac, Florin Gheorghe Filip, Misu-Jan Manolescu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages232-239
Number of pages8
ISBN (Electronic)9781509017355
DOIs
StatePublished - 20 Jun 2016
Externally publishedYes
Event6th International Conference on Computers Communications and Control, ICCCC 2016 - Baile Felix-Oradea, Romania
Duration: 10 May 201614 May 2016

Publication series

Name2016 6th International Conference on Computers Communications and Control, ICCCC 2016

Conference

Conference6th International Conference on Computers Communications and Control, ICCCC 2016
CountryRomania
CityBaile Felix-Oradea
Period10/05/1614/05/16

Keywords

  • Computer Vision
  • Image Processing
  • Image Segmentation

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