Automated Spike Detection in Diverse European Wheat Plants Using Textural Features and the Frangi Filter in 2D Greenhouse Images.

Narisetti, Narendra; Neumann, Kerstin; Röder, Marion S; Gladilin, Evgeny

Narisetti, Narendra; Neumann, Kerstin; Röder, Marion S; Gladilin, Evgeny.

Afiliación

Narisetti N; Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
Neumann K; Department of Genebank, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
Röder MS; Department of Genebank, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
Gladilin E; Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.

Front Plant Sci ; 11: 666, 2020.

Article en En | MEDLINE | ID: mdl-32655586

Palabras clave

cultivars; heading time point (HTP); high-throughput analysis; image segmentation; plant phenotyping; spike area; spike detection; texture

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Front Plant Sci Año: 2020 Tipo del documento: Article País de afiliación: Alemania

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