DocumentCode
2664005
Title
The segmentation algorithm of improvement a two-dimensional Otsu and application research
Author
Lu, Changhua ; Zhu, Ping ; Cao, Yong
Author_Institution
Sch. of Comput. & Inf., Hefei Univ. of Technol., Hefei, China
Volume
1
fYear
2010
fDate
3-5 Oct. 2010
Abstract
Thresholding is an efficient technique for image segmentation. Otsu is frequently used in digital image processing. Two-dimensional Otsu threshold algorithm has been proposed based on Otsu algorithm. This paper gives an improved two-dimensional Otsu segmentation method which changes the coordinate system of the two-dimensional histogram to strengthen resistance to noise and improve the computing speed. Experimental results show that the method is superior to the traditional one-dimensional and two-dimensional Otsu segmentation, and can be used to Tube-type bottle line machine vision inspection.
Keywords
computer vision; image segmentation; statistical analysis; digital image processing; image segmentation algorithm; two-dimensional Otsu; two-dimensional histogram; Gaussian noise; Histograms; Image segmentation; Object segmentation; Pixel; Software algorithms; Otsu; histogram segmentation; threshold; two-dimensional;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Technology and Engineering (ICSTE), 2010 2nd International Conference on
Conference_Location
San Juan, PR
Print_ISBN
978-1-4244-8667-0
Electronic_ISBN
978-1-4244-8666-3
Type
conf
DOI
10.1109/ICSTE.2010.5608908
Filename
5608908
Link To Document