Image segmentation using color and texture features
YĂĽkleniyor...
Tarih
2005
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Ă–zet
This paper describes a new color image segmentation method based on low-level features including color, texture and spatial information. The mean-shift algorithm with color and spatial information in color image segmentation is in general successful, however, in some cases, the color and spatial information are not sufficient for superior segmentation. The proposed method addresses this problem and employs texture as an additional feature. The method uses wavelet frames that provide translation invariant texture analysis. The method integrates additional texture feature to the color and spatial space of standard mean shift segmentation algorithm. The new algorithm with high dimensional extended feature space provides better results than standard mean shift segmentation algorithm as shown in experimental results.
Açıklama
European Association for Signal Processing (EURASIP);KAREL;TUBITAK;NORTEL Networks - Business Without Boundaries;ARGELA Technologies
13th European Signal Processing Conference, EUSIPCO 2005 -- 4 September 2005 through 8 September 2005 -- Antalya -- 91025
13th European Signal Processing Conference, EUSIPCO 2005 -- 4 September 2005 through 8 September 2005 -- Antalya -- 91025
Anahtar Kelimeler
Kaynak
13th European Signal Processing Conference, EUSIPCO 2005
WoS Q DeÄźeri
Scopus Q DeÄźeri
N/A
Cilt
Sayı
KĂĽnye
closedAccess
