Title :
A New Image Segmentation Approach by Using Automation Threshold Selection
Author :
Zou, YunLan ; Chai, Bencheng ; Xiao, Qili
Author_Institution :
Sch. of Comput. Sci. & Inf. Technol., Zhejiang Wanli Univ., Ningbo, China
Abstract :
This paper presents a new image segmentation approach by suing automatic threshold selection. This approach divides the image into 2 class. The best threshold is got when the separation between the interclass variance and the variance between clasters is the maximal. Experimental results show this new approach can segment images automatically and quickly.
Keywords :
image segmentation; automation threshold selection; image segmentation; interclass variance;
Conference_Titel :
Semantics Knowledge and Grid (SKG), 2010 Sixth International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8125-5
Electronic_ISBN :
978-0-7695-4189-1
DOI :
10.1109/SKG.2010.72
