DocumentCode
3150761
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
fYear
2011
fDate
16-18 April 2011
Firstpage
3197
Lastpage
3200
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location
XianNing
Print_ISBN
978-1-61284-458-9
Type
conf
DOI
10.1109/CECNET.2011.5768356
Filename
5768356
Link To Document