We propose a simple but effective image segmentation method not based on thresholding but on a merging strategy by evaluating joint probability of gray levels on co-occurrence matrix. The effectiveness of the proposed method is shown through a segmentation experiment.
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.
Copy
Suk Tae SEO, In Keun LEE, Seo Ho SON, Hyong Gun LEE, Soon Hak KWON, "Co-occurrence Matrix-Based Image Segmentation" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 11, pp. 3128-3131, November 2010, doi: 10.1587/transinf.E93.D.3128.
Abstract: We propose a simple but effective image segmentation method not based on thresholding but on a merging strategy by evaluating joint probability of gray levels on co-occurrence matrix. The effectiveness of the proposed method is shown through a segmentation experiment.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.3128/_p
Copy
@ARTICLE{e93-d_11_3128,
author={Suk Tae SEO, In Keun LEE, Seo Ho SON, Hyong Gun LEE, Soon Hak KWON, },
journal={IEICE TRANSACTIONS on Information},
title={Co-occurrence Matrix-Based Image Segmentation},
year={2010},
volume={E93-D},
number={11},
pages={3128-3131},
abstract={We propose a simple but effective image segmentation method not based on thresholding but on a merging strategy by evaluating joint probability of gray levels on co-occurrence matrix. The effectiveness of the proposed method is shown through a segmentation experiment.},
keywords={},
doi={10.1587/transinf.E93.D.3128},
ISSN={1745-1361},
month={November},}
Copy
TY - JOUR
TI - Co-occurrence Matrix-Based Image Segmentation
T2 - IEICE TRANSACTIONS on Information
SP - 3128
EP - 3131
AU - Suk Tae SEO
AU - In Keun LEE
AU - Seo Ho SON
AU - Hyong Gun LEE
AU - Soon Hak KWON
PY - 2010
DO - 10.1587/transinf.E93.D.3128
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2010
AB - We propose a simple but effective image segmentation method not based on thresholding but on a merging strategy by evaluating joint probability of gray levels on co-occurrence matrix. The effectiveness of the proposed method is shown through a segmentation experiment.
ER -