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Three-Dimensional Modeling of Tea-Shoots Using Images and Models

In this paper, a method for three-dimensional modeling of tea-shoots with images and calculation models is introduced. The process is as follows: the tea shoots are photographed with a camera, color space conversion is conducted, using an improved algorithm that is based on color and regional growth...

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Detalles Bibliográficos
Autores principales: Wang, Jian, Zeng, Xianyin, Liu, Jianbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231353/
https://www.ncbi.nlm.nih.gov/pubmed/22163823
http://dx.doi.org/10.3390/s110403803
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author Wang, Jian
Zeng, Xianyin
Liu, Jianbing
author_facet Wang, Jian
Zeng, Xianyin
Liu, Jianbing
author_sort Wang, Jian
collection PubMed
description In this paper, a method for three-dimensional modeling of tea-shoots with images and calculation models is introduced. The process is as follows: the tea shoots are photographed with a camera, color space conversion is conducted, using an improved algorithm that is based on color and regional growth to divide the tea shoots in the images, and the edges of the tea shoots extracted with the help of edge detection; after that, using the divided tea-shoot images, the three-dimensional coordinates of the tea shoots are worked out and the feature parameters extracted, matching and calculation conducted according to the model database, and finally the three-dimensional modeling of tea-shoots is completed. According to the experimental results, this method can avoid a lot of calculations and has better visual effects and, moreover, performs better in recovering the three-dimensional information of the tea shoots, thereby providing a new method for monitoring the growth of and non-destructive testing of tea shoots.
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spelling pubmed-32313532011-12-07 Three-Dimensional Modeling of Tea-Shoots Using Images and Models Wang, Jian Zeng, Xianyin Liu, Jianbing Sensors (Basel) Article In this paper, a method for three-dimensional modeling of tea-shoots with images and calculation models is introduced. The process is as follows: the tea shoots are photographed with a camera, color space conversion is conducted, using an improved algorithm that is based on color and regional growth to divide the tea shoots in the images, and the edges of the tea shoots extracted with the help of edge detection; after that, using the divided tea-shoot images, the three-dimensional coordinates of the tea shoots are worked out and the feature parameters extracted, matching and calculation conducted according to the model database, and finally the three-dimensional modeling of tea-shoots is completed. According to the experimental results, this method can avoid a lot of calculations and has better visual effects and, moreover, performs better in recovering the three-dimensional information of the tea shoots, thereby providing a new method for monitoring the growth of and non-destructive testing of tea shoots. Molecular Diversity Preservation International (MDPI) 2011-03-29 /pmc/articles/PMC3231353/ /pubmed/22163823 http://dx.doi.org/10.3390/s110403803 Text en © 2011 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Wang, Jian
Zeng, Xianyin
Liu, Jianbing
Three-Dimensional Modeling of Tea-Shoots Using Images and Models
title Three-Dimensional Modeling of Tea-Shoots Using Images and Models
title_full Three-Dimensional Modeling of Tea-Shoots Using Images and Models
title_fullStr Three-Dimensional Modeling of Tea-Shoots Using Images and Models
title_full_unstemmed Three-Dimensional Modeling of Tea-Shoots Using Images and Models
title_short Three-Dimensional Modeling of Tea-Shoots Using Images and Models
title_sort three-dimensional modeling of tea-shoots using images and models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231353/
https://www.ncbi.nlm.nih.gov/pubmed/22163823
http://dx.doi.org/10.3390/s110403803
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