The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
우리는 동시 발생 행렬에서 회색 레벨의 결합 확률을 평가함으로써 임계값 기반이 아닌 병합 전략을 기반으로 하는 간단하지만 효과적인 이미지 분할 방법을 제안합니다. 제안된 방법의 유효성은 분할 실험을 통해 나타난다.
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부
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
부
@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},}
부
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 -