Segmentation of color texture images with artificial bee colony algorithm and wavelet transform
Küçük Resim Yok
Tarih
2012
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Segmentation is an important application in the analysis of gray level and color images numerically. The task of image segmentation is to separate a given image into different regions having homogenous properties. Although the most basic segmentation is thresholding, this method has been insufficient in time. In this paper, the segmentation of color texture images is carried out with the approach of wavelet transform and artificial bee colony algorithm. Through this approach, the segmentation of typical natural scenes, including no uniform statistical color and texture characteristics is achieved. The superior and weak points of the developed method are evaluated. © 2012 IEEE.
Açıklama
2012 20th Signal Processing and Communications Applications Conference, SIU 2012 -- 18 April 2012 through 20 April 2012 -- Fethiye, Mugla -- 90786
Anahtar Kelimeler
Artificial bee colony algorithms, Color images, Color texture images, Gray levels, Natural scenes, Texture characteristics, Thresholding, Weak points, Signal processing, Wavelet transforms, Image segmentation
Kaynak
2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
