Use of digital image analysis for the flower color evaluation in ornamental sunflower
Аутори
Cvejić, SandraZorić, Martina
Mladenović, Emina
Babić, Zdenka
Jocković, Milan
Gvozdenac, Sonja
Radanović, Aleksandra
Jocić, Siniša
Miladinović, Dragana
Marjanović-Jeromela, Ana
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Sunflower (Helianthus annuus L.) is broadly used as an ornamental plant in landscape gardening, but also as a potted plant and a cut flower. Since aesthetic traits, including color, are most important for newly developed ornamental plants, sunflower petal (ray floret) color has a high value for the development of new genotypes and its position on the horticulture market. The most common methodology for the evaluation of sunflower petals is based on UPOV guidelines for sunflower. By the guidelines, the color of sunflower ray florets can be described as yellowish white, light yellow, medium yellow, orange yellow, orange, purple, reddish brown and multicolored. Although there are photographs to define these color categories, the provided material does not give clear information on the color definition, especially the multicolored category. The main obstacle of this methodology is its high subjectivity and necessity of high expertise for evaluators. In order to make the process of evaluati...on of sunflower petal color more objective, we propose a new methodology that combines image segmentation (pixel-based classification), and UPOV sunflower guidelines for the definition of color groups (classes). Images of six sunflower genotypes (Ring of Fire, CMS1-30, Heliopa, Dwarf, Neoplanta and Pacino Gold) were used in the software analysis. Visual results of this process of image segmentation presented different colors for the examined varieties. This visual presentation serves as a guideline for an evaluator to determine whether there is more than one dominant color in the examined genotypes.
Кључне речи:
ornamental sunflower / UPOV / digital image analysis / flower color / sunflower petalИзвор:
Book of Abstracts, 3rd edition, Digital breeding International Symposium of the Society for Plant Breeding e.V. (GPZ) in cooperation with Saatgut Austria, 11-13. 02. 2020., Tulln, Austria, 2020, 2020, 94-94Издавач:
- Goettingen : Gesellschaft fuer Pflanzenzuechtung (GPZ)
Колекције
Институција/група
FiVeRTY - CONF AU - Cvejić, Sandra AU - Zorić, Martina AU - Mladenović, Emina AU - Babić, Zdenka AU - Jocković, Milan AU - Gvozdenac, Sonja AU - Radanović, Aleksandra AU - Jocić, Siniša AU - Miladinović, Dragana AU - Marjanović-Jeromela, Ana PY - 2020 UR - http://fiver.ifvcns.rs/handle/123456789/2293 AB - Sunflower (Helianthus annuus L.) is broadly used as an ornamental plant in landscape gardening, but also as a potted plant and a cut flower. Since aesthetic traits, including color, are most important for newly developed ornamental plants, sunflower petal (ray floret) color has a high value for the development of new genotypes and its position on the horticulture market. The most common methodology for the evaluation of sunflower petals is based on UPOV guidelines for sunflower. By the guidelines, the color of sunflower ray florets can be described as yellowish white, light yellow, medium yellow, orange yellow, orange, purple, reddish brown and multicolored. Although there are photographs to define these color categories, the provided material does not give clear information on the color definition, especially the multicolored category. The main obstacle of this methodology is its high subjectivity and necessity of high expertise for evaluators. In order to make the process of evaluation of sunflower petal color more objective, we propose a new methodology that combines image segmentation (pixel-based classification), and UPOV sunflower guidelines for the definition of color groups (classes). Images of six sunflower genotypes (Ring of Fire, CMS1-30, Heliopa, Dwarf, Neoplanta and Pacino Gold) were used in the software analysis. Visual results of this process of image segmentation presented different colors for the examined varieties. This visual presentation serves as a guideline for an evaluator to determine whether there is more than one dominant color in the examined genotypes. PB - Goettingen : Gesellschaft fuer Pflanzenzuechtung (GPZ) C3 - Book of Abstracts, 3rd edition, Digital breeding International Symposium of the Society for Plant Breeding e.V. (GPZ) in cooperation with Saatgut Austria, 11-13. 02. 2020., Tulln, Austria, 2020 T1 - Use of digital image analysis for the flower color evaluation in ornamental sunflower EP - 94 SP - 94 UR - https://hdl.handle.net/21.15107/rcub_fiver_2293 ER -
@conference{ author = "Cvejić, Sandra and Zorić, Martina and Mladenović, Emina and Babić, Zdenka and Jocković, Milan and Gvozdenac, Sonja and Radanović, Aleksandra and Jocić, Siniša and Miladinović, Dragana and Marjanović-Jeromela, Ana", year = "2020", abstract = "Sunflower (Helianthus annuus L.) is broadly used as an ornamental plant in landscape gardening, but also as a potted plant and a cut flower. Since aesthetic traits, including color, are most important for newly developed ornamental plants, sunflower petal (ray floret) color has a high value for the development of new genotypes and its position on the horticulture market. The most common methodology for the evaluation of sunflower petals is based on UPOV guidelines for sunflower. By the guidelines, the color of sunflower ray florets can be described as yellowish white, light yellow, medium yellow, orange yellow, orange, purple, reddish brown and multicolored. Although there are photographs to define these color categories, the provided material does not give clear information on the color definition, especially the multicolored category. The main obstacle of this methodology is its high subjectivity and necessity of high expertise for evaluators. In order to make the process of evaluation of sunflower petal color more objective, we propose a new methodology that combines image segmentation (pixel-based classification), and UPOV sunflower guidelines for the definition of color groups (classes). Images of six sunflower genotypes (Ring of Fire, CMS1-30, Heliopa, Dwarf, Neoplanta and Pacino Gold) were used in the software analysis. Visual results of this process of image segmentation presented different colors for the examined varieties. This visual presentation serves as a guideline for an evaluator to determine whether there is more than one dominant color in the examined genotypes.", publisher = "Goettingen : Gesellschaft fuer Pflanzenzuechtung (GPZ)", journal = "Book of Abstracts, 3rd edition, Digital breeding International Symposium of the Society for Plant Breeding e.V. (GPZ) in cooperation with Saatgut Austria, 11-13. 02. 2020., Tulln, Austria, 2020", title = "Use of digital image analysis for the flower color evaluation in ornamental sunflower", pages = "94-94", url = "https://hdl.handle.net/21.15107/rcub_fiver_2293" }
Cvejić, S., Zorić, M., Mladenović, E., Babić, Z., Jocković, M., Gvozdenac, S., Radanović, A., Jocić, S., Miladinović, D.,& Marjanović-Jeromela, A.. (2020). Use of digital image analysis for the flower color evaluation in ornamental sunflower. in Book of Abstracts, 3rd edition, Digital breeding International Symposium of the Society for Plant Breeding e.V. (GPZ) in cooperation with Saatgut Austria, 11-13. 02. 2020., Tulln, Austria, 2020 Goettingen : Gesellschaft fuer Pflanzenzuechtung (GPZ)., 94-94. https://hdl.handle.net/21.15107/rcub_fiver_2293
Cvejić S, Zorić M, Mladenović E, Babić Z, Jocković M, Gvozdenac S, Radanović A, Jocić S, Miladinović D, Marjanović-Jeromela A. Use of digital image analysis for the flower color evaluation in ornamental sunflower. in Book of Abstracts, 3rd edition, Digital breeding International Symposium of the Society for Plant Breeding e.V. (GPZ) in cooperation with Saatgut Austria, 11-13. 02. 2020., Tulln, Austria, 2020. 2020;:94-94. https://hdl.handle.net/21.15107/rcub_fiver_2293 .
Cvejić, Sandra, Zorić, Martina, Mladenović, Emina, Babić, Zdenka, Jocković, Milan, Gvozdenac, Sonja, Radanović, Aleksandra, Jocić, Siniša, Miladinović, Dragana, Marjanović-Jeromela, Ana, "Use of digital image analysis for the flower color evaluation in ornamental sunflower" in Book of Abstracts, 3rd edition, Digital breeding International Symposium of the Society for Plant Breeding e.V. (GPZ) in cooperation with Saatgut Austria, 11-13. 02. 2020., Tulln, Austria, 2020 (2020):94-94, https://hdl.handle.net/21.15107/rcub_fiver_2293 .