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
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;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862538
