11th Joint International Conference on Information Sciences

A New Image Binarization Method Using Histogram and Spectral Clustering

Authors
Rui Wu 0, Fang Yin, Jianhua Huang, Xianglong Tang
Corresponding Author
Rui Wu
0Harbin Institute of Technology
Available Online December 2008.
DOI
https://doi.org/10.2991/jcis.2008.73How to use a DOI?
Keywords
binarization processing; graph cut; spectral clustering
Abstract
A novel approach of binarization for gray images is presented in this paper. The proposed algorithm uses the normalized graph cut(Ncut) as the measure for spectral clustering, and the weighted matrix used in evaluating the graph cuts is based on the gray levels of an image, rather than the image pixels commonly. Thus, the algorithm requires much smaller spatial costs and lower computation complexity. Experiments on text images in natural scene show the superior performance of the proposed method compared to the typical thresholding algorithms.
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Proceedings
11th Joint International Conference on Information Sciences
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
978-90-78677-18-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2008.73How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Rui Wu
AU  - Fang Yin
AU  - Jianhua Huang
AU  - Xianglong Tang
PY  - 2008/12
DA  - 2008/12
TI  - A New Image Binarization Method Using Histogram and Spectral Clustering
BT  - 11th Joint International Conference on Information Sciences
PB  - Atlantis Press
SP  - 428
EP  - 432
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.73
DO  - https://doi.org/10.2991/jcis.2008.73
ID  - Wu2008/12
ER  -