DocumentCode :
3515200
Title :
Color image segmentation method using watershed algorithm and contour information
Author :
Shiji, Apako ; Hamada, Nozomu
Author_Institution :
Dept. of Syst. Design Eng., Keio Univ., Yokohama, Japan
Volume :
4
fYear :
1999
fDate :
1999
Firstpage :
305
Abstract :
In this paper, we propose a segmentation method of color images with being rid of oversegmentation. Many conventional segmentation methods assign one region to each gathering of pixels which have similar property. But, these methods tend to oversegment by the optical influences. Besides, they do not use the edge information, therefore the edge is not always selected to the boundary. In this study, we propose a segmentation method of color images with being rid of oversegmentation. Our method uses not only the pixel´s property but also the information of regions´ contour. It consists of the first segmentation process and the region combining process. First, the given image is segmented in consideration of the edge information. Next, the obtained regions are combined according to pixels´ property and regions´ contour
Keywords :
computational geometry; image segmentation; color image segmentation method; contour information; pixels; watershed algorithm; Color; Filtering; Gray-scale; Image recognition; Image reconstruction; Image segmentation; Iris; Kernel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
Type :
conf
DOI :
10.1109/ICIP.1999.819600
Filename :
819600
Link To Document :
بازگشت