DocumentCode
353841
Title
Approach of automatic multithreshold image segmentation based on class variance
Author
Xiaodan, Wang ; Chongming, Wu
Author_Institution
Dept. of Comput. Eng., Airforce Eng. Univ., ShaanXi, China
Volume
4
fYear
2000
fDate
2000
Firstpage
2671
Abstract
In this paper, we extend the automatic one threshold gray-level image segmentation method, propose an approach of automatic multithreshold gray-level image segmentation based on class variance using the classification theory in pattern recognition, and this approach can automatically select the optimum threshold (one or more) of gray-level image. Experimental results show the effectiveness of this method
Keywords
image recognition; image segmentation; optimisation; automatic multithreshold gray-level image segmentation; class variance; classification theory; pattern recognition; Airports; Assembly; Histograms; Humans; Image recognition; Image segmentation; Pattern recognition; Pixel; Rockets;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location
Hefei
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.862538
Filename
862538
Link To Document