H. Hamzaouil ; A. Elmatouat ; P. Martin - Segmentation d'une image couleur par les critères d'information et la théorie des ensembles flous

arima:1861 - Revue Africaine de Recherche en Informatique et Mathématiques Appliquées, August 9, 2006, Volume 5, Special Issue TAM TAM'05, november 2006 - https://doi.org/10.46298/arima.1861
Segmentation d'une image couleur par les critères d'information et la théorie des ensembles flousArticle

Authors: H. Hamzaouil 1; A. Elmatouat 2; P. Martin 3

  • 1 Faculté des sciences
  • 2 Université Le Havre Normandie - Faculté des Affaires Internationales
  • 3 Laboratoire de Microélectronique et de Physique des Semiconducteurs

In this paper we present an unsupervised color image segmentation algorithm using the information criteria and a fuzzy theory. We propose this method to estimate the number of color image clusters and the optimal radius associated with minimizing the value of the proposed criteria. The experimental results demonstrate that this approach compresses the image in a small number of clusters without losing the informational contents of the image and we reduce the number of parameters using the process of segmentation, we also decrease the computational time. The color image segmentation system has been tested on some usual color images; "House", "Lena", "Monarch" and "Peppers".

https://doi.org/10.46298/arima.1861
Source: HAL:hal-01263456v1
Volume: Volume 5, Special Issue TAM TAM'05, november 2006
Published on: August 9, 2006
Submitted on: January 18, 2006
Keywords: Information Criteria, Histogram, Fuzzy Classification Algorithm, Fuzzy sets,Histogramme,Algorithme de classification floue,Ensembles flous,Critères d'information,[MATH] Mathematics [math],[INFO] Computer Science [cs]
Licence: Attribution 4.0 International (CC BY 4.0)

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