Color image segmentation using mean shift filtering and wavelet frames
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Tarih
2005
Yazarlar
Dergi Başlığı
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Cilt Başlığı
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Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper describes a new color image segmentation method based on low-level features including color and texture. 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. Recently, the discrete wavelet transform (DWT) has become a popular approach for texture feature extraction. The proposed method uses wavelet frames that provide translation invariant texture analysis. The method also integrates an additional texture feature to the traditional mean shift segmentation algorithm with color and spatial space. Experimental results show that the algorithm gives satisfactory results. © 2005 IEEE.
Açıklama
IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005 -- 16 May 2005 through 18 May 2005 -- Kayseri -- 69003
Anahtar Kelimeler
Kaynak
Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
2005
Sayı
Künye
closedAccess
