DocumentCode
3349420
Title
A new image thresholding method based on isoperimetric ratios
Author
Li, Zuoyong ; Liu, ChuanCai ; Cheng, Yong
Author_Institution
Dept. of Comput. Sci. & Technol., Nanjing Univ. of Sci. & Technol., Nanjing
fYear
2008
fDate
21-24 Sept. 2008
Firstpage
724
Lastpage
727
Abstract
This paper presents a new thresholding method based on isoperimetric theory for image segmentation. The proposed method uses isoperimetric ratio as a criterion in selecting optimal segmenting threshold, that is, segmenting image with the gray value of minimal isoperimetric ratio as optimal threshold. Experiments show that this method outperforms normalized cut thresholding method in terms of segmentation quality, speed and noise immunity.
Keywords
image segmentation; gray value; image segmentation; image thresholding method; isoperimetric ratios; minimal isoperimetric ratio; noise immunity; optimal segmenting threshold; segmentation quality; Computer science; Focusing; Graph theory; High performance computing; Image processing; Image segmentation; Linear systems; Paper technology; Pixel; Symmetric matrices; Isoperimetric theory; graph theory; image segmentation; isoperimetric ratio; threshold selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Cybernetics and Intelligent Systems, 2008 IEEE Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-1673-8
Electronic_ISBN
978-1-4244-1674-5
Type
conf
DOI
10.1109/ICCIS.2008.4670750
Filename
4670750
Link To Document