Share Email Print

Proceedings Paper

Automatic thresholding of gray-level images using two-dimensional Bayes discrimination rule
Author(s): Hai Bing Guan; Guo Rong Xuan; Ying Cai Bai
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The paper integrates the virtues of thresholding and region growing, and utilizes gray frequency distributing and local spatial information to segment image simultaneously by multi-gray-character(multi-dimensional histogram). The technique researched in this paper was found on the model that multi-dimensional histogram of an image that fits multi-dimensional gaussian-mixture-distributing. The paper derivates the parameters formulations of gaussian-mixture model based on maximum likelihood estimate, then the bayes discrimination rule guides the segmentation result. The theoretic analysis and experiment indicates the new technique overcomes two main shortcomings of the existing similar techniques.

Paper Details

Date Published: 21 September 2001
PDF: 6 pages
Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); doi: 10.1117/12.441469
Show Author Affiliations
Hai Bing Guan, Shanghai Jiaotong Univ. (China)
Guo Rong Xuan, Tongji Univ. (China)
Ying Cai Bai, Shanghai Jiaotong Univ. (China)

Published in SPIE Proceedings Vol. 4550:
Image Extraction, Segmentation, and Recognition
Tianxu Zhang; Bir Bhanu; Ning Shu, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?