DocumentCode
2709150
Title
Color image segmentation using color space analysis and fuzzy clustering
Author
Zhong, David X. ; Yan, Hong
Author_Institution
Sch. of Electr. & Inf. Eng., Sydney Univ., NSW, Australia
Volume
2
fYear
2000
fDate
2000
Firstpage
624
Abstract
This paper presents a new method using color space analysis to obtain a proper number of colors and a good initial estimate of center positions. Then fuzzy c-means algorithm is used to optimally cluster the color space data points projected from an input image. Hence, optimal color segmentation can be achieved
Keywords
fuzzy set theory; image colour analysis; image segmentation; low-pass filters; optimisation; pattern clustering; 3D color space analysis; 3D low-pass filtering; 3D object labeling; 3D pyramiding; center position estimation; color image segmentation; fuzzy c-means algorithm; fuzzy clustering; optimal data-point clustering; projected data points; validity measure; Algorithm design and analysis; Clustering algorithms; Filtering; Histograms; Image analysis; Image color analysis; Image segmentation; Information analysis; Labeling; Low pass filters;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks for Signal Processing X, 2000. Proceedings of the 2000 IEEE Signal Processing Society Workshop
Conference_Location
Sydney, NSW
ISSN
1089-3555
Print_ISBN
0-7803-6278-0
Type
conf
DOI
10.1109/NNSP.2000.890141
Filename
890141
Link To Document