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
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;
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
DOI :
10.1109/ICCIS.2008.4670750
