Breeding of posterity crossing between cut rose ‘PEKcougel’ and tetraploid<i>Rosa multiflora</i>for disease resistance

Ochiai, Masaki; Wu, Weijun; Funahashi, Saburô; Sugimoto, Hiroyuki; Fukui, Hirokazu

doi:10.17660/actahortic.2019.1232.11

Cited by 1 publication

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“…With the increasing maturity of 3D modeling technology in the plant field, it is an inevitable trend to improve research methods from the traditional 2D space to the 3D space. Therefore, the 3D model could significantly improve the classification accuracy when identifying flowers with high similarity ( Garbez et al., 2018 ; Ochiai et al., 2019 ; Dhar, 2019 ). The significant development in the fields of 3D modeling and digital archiving has led to an outburst in the amount of data stored digitally and model diversity ( Manda et al., 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Feature extraction of 3D Chinese rose model based on color and shape features

et al. 2022

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Flower classification is of great importance to the research fields of plants, food, and medicine. Due to more abundant information on three-dimensional (3D) flower models than two-dimensional 2D images, it makes the 3D models more suitable for flower classification tasks. In this study, a feature extraction and classification method were proposed based on the 3D models of Chinese roses. Firstly, the shape distribution method was used to extract the sharpness and contour features of 3D flower models, and the color features were obtained from the Red-Green-Blue (RGB) color space. Then, the RF-OOB method was employed to rank the extracted flower features. A shape descriptor based on the unique attributes of Chinese roses was constructed, χ2 distance was adopted to measure the similarity between different Chinese roses. Experimental results show that the proposed method was effective for the retrieval and classification tasks of Chinese roses, and the average classification accuracy was approximately 87%, which can meet the basic retrieval requirements of 3D flower models. The proposed method promotes the classification of Chinese roses from 2D space to 3D space, which broadens the research method of flower classification.

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