The Clusterization Process in an Adaptative Method of Image Segmentation

  • Aleksander Lamza
  • Zygmunt Wrobel
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 47)


In the article a new method of automatic image segmentation is presented. The aim was to eliminate the necessity of defining the number of outcome areas. Homogeneous areas take part in the growth process. The areas merge when the homogeneousness condition is fulfilled. The threshold value changes during the segmentation process, fitting the changeable conditions.


Image Segmentation Gray Level Homogeneousness Condition Segmentation Process Threshold Variance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Aleksander Lamza
    • 1
  • Zygmunt Wrobel
    • 2
  1. 1.Department of Biomedical Computer Systems, Institute of Computer Science, Faculty of Computer and Materials ScienceUniversity of Silesia in KatowiceSosnowiec 
  2. 2.No Affiliations 

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