Differential evolution algorithm for segmentation of wound images

ASLANTAŞ V., Tunekanat M.

IEEE International Symposium on Intelligent Signal Processing, Alcala-De-Henares, İspanya, 3 - 05 Ekim 2007, ss.175-179 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Alcala-De-Henares
  • Basıldığı Ülke: İspanya
  • Sayfa Sayıları: ss.175-179
  • Erciyes Üniversitesi Adresli: Evet

Özet

Color-based region segmentation of skin lesions is one of the key steps for correctly collecting statistics that can help clinicians in their diagnosis. This study describes the use of differential evolution algorithm for segmentation of wounds on the skin. The abilities of differential evolution optimization algorithm, such as easiness, simple operations using, effectiveness and converging to global optimum reflected to wound image segmentation by using differential evolution algorithm in image segmentation. Tire system does not have the disadvantegs of classical systems such as K-means clustering algorithm and the results obtained from different wound images have been discussed.