A four-stage system for blind colour image segmentation

  • Authors:

  • Ezequiel Ló/pez-Rubio;José/ Muñ/oz-Pé/rez;José/ Antonio Gó/mez-Ruiz

  • Affiliations:

  • (Correspd.) E.T.S.I. Informá/tica, University of Má/laga, Campus de Teatinos, s/n. 29071, Má/laga, Spain. Tel.: +34 95 213 71 55/ Fax: +34 95 213 13 97/ E-mail: {ezeqlr, munozp, janto} ...;E.T.S.I. Informá/tica, University of Má/laga, Campus de Teatinos, s/n. 29071, Má/laga, Spain. Tel.: +34 95 213 71 55/ Fax: +34 95 213 13 97/ E-mail: {ezeqlr, munozp, janto}@lcc.uma.es;E.T.S.I. Informá/tica, University of Má/laga, Campus de Teatinos, s/n. 29071, Má/laga, Spain. Tel.: +34 95 213 71 55/ Fax: +34 95 213 13 97/ E-mail: {ezeqlr, munozp, janto}@lcc.uma.es

  • Venue:
  • Integrated Computer-Aided Engineering
  • Year:
  • 2003

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Abstract

This paper proposes a new method to split colour images into regions. The only input information is the image to be segmented. Hence, this is a blind colour image segmentation method. It consists of four subsystems: preprocessing, cluster detection, cluster fusion and postprocessing. Proofs are given for the significant properties that we have found. It is not necessary to specify the number of regions in advance, which is a significant improvement over the standard competitive-style strategies. Finally, simulation results are given to demonstrate the performance of this method for some images.