Rule-based automatic segmentation of color images
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Dosyalar
Tarih
2006
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Gmbh
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
A rule-based segmentation algorithm for color images has been presented in this paper. The proposed strategy is similar to region growing algorithm where the seed points are automatically selected and grown. The similarity percents of neighboring pixels are calculated by means of fuzzy reasoning rules, and the merging of the pixels with regions is performed by comparing the similarity percent with the similarity threshold value. The algorithm does not require any prior knowledge of the number of regions existing in the image and decreases the computational load required for the fuzzy c-means (FCM). Several computer simulations have been performed and the results have been discussed. The simulation results indicate that the proposed algorithm yields segmented color image of perfect accuracy.
Açıklama
Anahtar Kelimeler
Rule-based Image Segmentation, Color Image, Fuzzy Logic, Similarity Percent Threshold
Kaynak
Aeu-International Journal Of Electronics And Communications
WoS Q Değeri
Q3
Scopus Q Değeri
Q2
Cilt
60
Sayı
6
