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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Une méthode d'estimation de primitives duales dans une image texturale est proposée. Cette méthode est basée sur le modèle de texture Primitive, Grain and Point Configuration (PGPC), qui considère une texture comme un arrangement de grains dérivé d'une ou de quelques primitives. Des primitives appropriées peuvent être représentées par des éléments structurants morphologiques estimés à partir d'une texture. Les méthodes conventionnelles d'estimation de primitives estiment une seule primitive à partir de chaque image texturale. Cependant, ils ne fonctionnent pas bien sur les images texturales contenant plus d’une structure de base, puisque deux types de grains ou plus ne peuvent pas être générés à partir d’une seule primitive. La méthode proposée estime simultanément deux éléments structurants optimaux d'une texture. Les résultats expérimentaux montrent que la méthode proposée fournit des estimations plus représentatives que la méthode conventionnelle.
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Liang LI, Akira ASANO, Chie MURAKI ASANO, Mitsuji MUNEYASU, Yoshiko HANADA, "Dual Primitive Estimation of Textures" in IEICE TRANSACTIONS on Fundamentals,
vol. E94-A, no. 4, pp. 1165-1169, April 2011, doi: 10.1587/transfun.E94.A.1165.
Abstract: A method of estimating dual primitives in a textural image is proposed. This method is based on the Primitive, Grain, and Point Configuration (PGPC) texture model, which regards a texture as an arrangement of grains derived from one or a few primitives. Appropriate primitives can be represented by morphological structuring elements estimated from a texture. Conventional primitive estimation methods estimate only one primitive from each textural image. However, they do not work well on textural images that contain more than one basic structure, since two or more types of grain cannot be generated from only one primitive. The proposed method simultaneously estimates two optimal structuring elements of a texture. The experimental results show that the proposed method provides more representative estimations than the conventional method.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E94.A.1165/_p
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@ARTICLE{e94-a_4_1165,
author={Liang LI, Akira ASANO, Chie MURAKI ASANO, Mitsuji MUNEYASU, Yoshiko HANADA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Dual Primitive Estimation of Textures},
year={2011},
volume={E94-A},
number={4},
pages={1165-1169},
abstract={A method of estimating dual primitives in a textural image is proposed. This method is based on the Primitive, Grain, and Point Configuration (PGPC) texture model, which regards a texture as an arrangement of grains derived from one or a few primitives. Appropriate primitives can be represented by morphological structuring elements estimated from a texture. Conventional primitive estimation methods estimate only one primitive from each textural image. However, they do not work well on textural images that contain more than one basic structure, since two or more types of grain cannot be generated from only one primitive. The proposed method simultaneously estimates two optimal structuring elements of a texture. The experimental results show that the proposed method provides more representative estimations than the conventional method.},
keywords={},
doi={10.1587/transfun.E94.A.1165},
ISSN={1745-1337},
month={April},}
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TY - JOUR
TI - Dual Primitive Estimation of Textures
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1165
EP - 1169
AU - Liang LI
AU - Akira ASANO
AU - Chie MURAKI ASANO
AU - Mitsuji MUNEYASU
AU - Yoshiko HANADA
PY - 2011
DO - 10.1587/transfun.E94.A.1165
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E94-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2011
AB - A method of estimating dual primitives in a textural image is proposed. This method is based on the Primitive, Grain, and Point Configuration (PGPC) texture model, which regards a texture as an arrangement of grains derived from one or a few primitives. Appropriate primitives can be represented by morphological structuring elements estimated from a texture. Conventional primitive estimation methods estimate only one primitive from each textural image. However, they do not work well on textural images that contain more than one basic structure, since two or more types of grain cannot be generated from only one primitive. The proposed method simultaneously estimates two optimal structuring elements of a texture. The experimental results show that the proposed method provides more representative estimations than the conventional method.
ER -