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
É proposto um método para estimar primitivas duais em uma imagem textural. Este método é baseado no modelo de textura Primitive, Grain, and Point Configuration (PGPC), que considera uma textura como um arranjo de grãos derivados de um ou alguns primitivos. Primitivas apropriadas podem ser representadas por elementos estruturantes morfológicos estimados a partir de uma textura. Os métodos convencionais de estimativa de primitivas estimam apenas uma primitiva de cada imagem textural. Porém, eles não funcionam bem em imagens texturais que contenham mais de uma estrutura básica, uma vez que dois ou mais tipos de granulação não podem ser gerados a partir de apenas um primitivo. O método proposto estima simultaneamente dois elementos estruturantes ótimos de uma textura. Os resultados experimentais mostram que o método proposto fornece estimativas mais representativas que o método convencional.
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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 -