IEICE TRANSACTIONS on transactions
Local Histogram Difference Method--A New Thresholding Method for Segmenting Noisy Gray-Scale Images--
Summary :
This letter describes a new thresholding method for recognizing pattern regions in noisy gray-scale images. Many previously developed thresholding techniques occasionally lead to unreasonable results for noisy images with small pattern occupancies. In the proposed method, the threshold is evaluated on the basis of the difference function of a pair of local histograms for two windows set in the image. The zero-cross point of the function is independent of both the noise spectrum and the pattern ratio, and it coincides with the true threshold. This method is a powerful tool for thresholding noisy gray-scale images that have unknown pattern ratios.
- Publication
- IEICE TRANSACTIONS on transactions Vol.E73-E No.11 pp.1815-1817
- Publication Date
- 1990/11/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section LETTER (Special Issue on 1990 Autumn Natl. Conv. IEICE)
- Category
- Signals, Circuits and Images
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
Minoru ITO, Toshifumi WATANABE, "Local Histogram Difference Method--A New Thresholding Method for Segmenting Noisy Gray-Scale Images--" in IEICE TRANSACTIONS on transactions,
vol. E73-E, no. 11, pp. 1815-1817, November 1990, doi: .
Abstract: This letter describes a new thresholding method for recognizing pattern regions in noisy gray-scale images. Many previously developed thresholding techniques occasionally lead to unreasonable results for noisy images with small pattern occupancies. In the proposed method, the threshold is evaluated on the basis of the difference function of a pair of local histograms for two windows set in the image. The zero-cross point of the function is independent of both the noise spectrum and the pattern ratio, and it coincides with the true threshold. This method is a powerful tool for thresholding noisy gray-scale images that have unknown pattern ratios.
URL: https://global.ieice.org/en_transactions/transactions/10.1587/e73-e_11_1815/_p
Copy
@ARTICLE{e73-e_11_1815,
author={Minoru ITO, Toshifumi WATANABE, },
journal={IEICE TRANSACTIONS on transactions},
title={Local Histogram Difference Method--A New Thresholding Method for Segmenting Noisy Gray-Scale Images--},
year={1990},
volume={E73-E},
number={11},
pages={1815-1817},
abstract={This letter describes a new thresholding method for recognizing pattern regions in noisy gray-scale images. Many previously developed thresholding techniques occasionally lead to unreasonable results for noisy images with small pattern occupancies. In the proposed method, the threshold is evaluated on the basis of the difference function of a pair of local histograms for two windows set in the image. The zero-cross point of the function is independent of both the noise spectrum and the pattern ratio, and it coincides with the true threshold. This method is a powerful tool for thresholding noisy gray-scale images that have unknown pattern ratios.},
keywords={},
doi={},
ISSN={},
month={November},}
Copy
TY - JOUR
TI - Local Histogram Difference Method--A New Thresholding Method for Segmenting Noisy Gray-Scale Images--
T2 - IEICE TRANSACTIONS on transactions
SP - 1815
EP - 1817
AU - Minoru ITO
AU - Toshifumi WATANABE
PY - 1990
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E73-E
IS - 11
JA - IEICE TRANSACTIONS on transactions
Y1 - November 1990
AB - This letter describes a new thresholding method for recognizing pattern regions in noisy gray-scale images. Many previously developed thresholding techniques occasionally lead to unreasonable results for noisy images with small pattern occupancies. In the proposed method, the threshold is evaluated on the basis of the difference function of a pair of local histograms for two windows set in the image. The zero-cross point of the function is independent of both the noise spectrum and the pattern ratio, and it coincides with the true threshold. This method is a powerful tool for thresholding noisy gray-scale images that have unknown pattern ratios.
ER -
English
