Title :
Improved algorithm of image segmentation based on maximum classes square error
Author :
Liu, Jian-Qiao ; Ye, Jun-Yong
Author_Institution :
Coll. of Optoelectron. Eng., Chongqing Univ., Chongqing, China
Abstract :
In this paper, a binary search algorithm is used to search optimal threshold value for image segmentation. It overcomes the shortcoming of huge calculation by using Otsu algorithm to search optimal threshold value traversing the whole grayscale, enable which to be applied in some occasions requiring for high real time. Experimental results show that this method can find reliable optimal threshold value, conduct image segmentation, and improve the processing speed greatly. The improved Otsu algorithm becomes more practical and wider application.
Keywords :
algorithm theory; error analysis; image segmentation; search problems; Otsu algorithm; binary search algorithm; image segmentation improved algorithm; maximum classes square error; search optimal threshold value; Educational institutions; Gray-scale; Image segmentation; Licenses; Pattern recognition; Reactive power; Software; Otsu algorithm; binary search algorithm; speed; threshold;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
DOI :
10.1109/CECNET.2011.5768356
