IEICE TRANSACTIONS on Information
A Discriminant Analysis Based Recursive Automatic Thresholding Approach for Image Segmentation
Summary :
In this study, we have proposed an efficient automatic multilevel thresholding method for image segmentation. An effective criterion for measuring the separability of the homogenous objects in the image, based on discriminant analysis, has been introduced to automatically determine the number of thresholding levels to be performed. Then, by applying this discriminant criterion, the object regions with homogeneous illuminations in the image can be recursively and automatically thresholded into separate segmented images. The proposed method is fast and effective in analyzing and thresholding the histogram of the image. In order to conduct an equitable comparative performance evaluation of the proposed method with other thresholding methods, a combinatorial scheme is also introduced to properly reduce the computational complexity of performing multilevel thresholding. The experimental results demonstrated that the proposed method is feasible and computationally efficient in automatic multilevel thresholding for image segmentation.
- Publication
- IEICE TRANSACTIONS on Information Vol.E88-D No.7 pp.1716-1723
- Publication Date
- 2005/07/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietisy/e88-d.7.1716
- Type of Manuscript
- PAPER
- Category
- Image Recognition, Computer Vision
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Bing-Fei WU, Yen-Lin CHEN, Chung-Cheng CHIU, "A Discriminant Analysis Based Recursive Automatic Thresholding Approach for Image Segmentation" in IEICE TRANSACTIONS on Information,
vol. E88-D, no. 7, pp. 1716-1723, July 2005, doi: 10.1093/ietisy/e88-d.7.1716.
Abstract: In this study, we have proposed an efficient automatic multilevel thresholding method for image segmentation. An effective criterion for measuring the separability of the homogenous objects in the image, based on discriminant analysis, has been introduced to automatically determine the number of thresholding levels to be performed. Then, by applying this discriminant criterion, the object regions with homogeneous illuminations in the image can be recursively and automatically thresholded into separate segmented images. The proposed method is fast and effective in analyzing and thresholding the histogram of the image. In order to conduct an equitable comparative performance evaluation of the proposed method with other thresholding methods, a combinatorial scheme is also introduced to properly reduce the computational complexity of performing multilevel thresholding. The experimental results demonstrated that the proposed method is feasible and computationally efficient in automatic multilevel thresholding for image segmentation.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e88-d.7.1716/_p
Copy
@ARTICLE{e88-d_7_1716,
author={Bing-Fei WU, Yen-Lin CHEN, Chung-Cheng CHIU, },
journal={IEICE TRANSACTIONS on Information},
title={A Discriminant Analysis Based Recursive Automatic Thresholding Approach for Image Segmentation},
year={2005},
volume={E88-D},
number={7},
pages={1716-1723},
abstract={In this study, we have proposed an efficient automatic multilevel thresholding method for image segmentation. An effective criterion for measuring the separability of the homogenous objects in the image, based on discriminant analysis, has been introduced to automatically determine the number of thresholding levels to be performed. Then, by applying this discriminant criterion, the object regions with homogeneous illuminations in the image can be recursively and automatically thresholded into separate segmented images. The proposed method is fast and effective in analyzing and thresholding the histogram of the image. In order to conduct an equitable comparative performance evaluation of the proposed method with other thresholding methods, a combinatorial scheme is also introduced to properly reduce the computational complexity of performing multilevel thresholding. The experimental results demonstrated that the proposed method is feasible and computationally efficient in automatic multilevel thresholding for image segmentation.},
keywords={},
doi={10.1093/ietisy/e88-d.7.1716},
ISSN={},
month={July},}
Copy
TY - JOUR
TI - A Discriminant Analysis Based Recursive Automatic Thresholding Approach for Image Segmentation
T2 - IEICE TRANSACTIONS on Information
SP - 1716
EP - 1723
AU - Bing-Fei WU
AU - Yen-Lin CHEN
AU - Chung-Cheng CHIU
PY - 2005
DO - 10.1093/ietisy/e88-d.7.1716
JO - IEICE TRANSACTIONS on Information
SN -
VL - E88-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2005
AB - In this study, we have proposed an efficient automatic multilevel thresholding method for image segmentation. An effective criterion for measuring the separability of the homogenous objects in the image, based on discriminant analysis, has been introduced to automatically determine the number of thresholding levels to be performed. Then, by applying this discriminant criterion, the object regions with homogeneous illuminations in the image can be recursively and automatically thresholded into separate segmented images. The proposed method is fast and effective in analyzing and thresholding the histogram of the image. In order to conduct an equitable comparative performance evaluation of the proposed method with other thresholding methods, a combinatorial scheme is also introduced to properly reduce the computational complexity of performing multilevel thresholding. The experimental results demonstrated that the proposed method is feasible and computationally efficient in automatic multilevel thresholding for image segmentation.
ER -
English
