DocumentCode :
2162048
Title :
Application of Global Fuzzy C-Means (GFCM) Clustering Algorithm in Color Transfer
Author :
Zou, Xinhua ; Wang, Ruomei ; Wang, Zhong ; Liu, Yongpan
Author_Institution :
Dept. of Comput. Sci., Sun Yat-Sen Univ., Guangzhou, China
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
4
Abstract :
This paper proposes a color transfer approach based on global fuzzy C-Means (GFCM) clustering algorithm. GFCM algorithm is adopted to locate the matching areas between the images in lalphabeta space and to prevent the clustering processing from falling into the local optimal solution. The experiment shows that comparing to the traditional FCM method; GFCM method can obtain a better clustering result in a shorter time and achieve more natural and smoother visual effects.
Keywords :
fuzzy set theory; image colour analysis; image matching; color transfer; global fuzzy C-means clustering algorithm; image matching; Application software; Clustering algorithms; Computer science; Image color analysis; Image processing; Image segmentation; Springs; Sun; Virtual colonoscopy; Visual effects;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
Type :
conf
DOI :
10.1109/CISP.2009.5304344
Filename :
5304344
Link To Document :
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