Paper
20 November 2014 Three dimensional (3D) distribution calculation of chlorophyll in rice based on infrared imaging technique
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Proceedings Volume 9300, International Symposium on Optoelectronic Technology and Application 2014: Infrared Technology and Applications; 93002H (2014) https://doi.org/10.1117/12.2073219
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China
Abstract
Chlorophyll content and distribution in leaf can reflect the plant health and nutrient status of the plant indirectly. It is meaningful to monitor the 3D distribution of chlorophyll in plant science. It can be done by the method in this paper: Firstly, the chlorophyll contents at different point in leaf are measured with the SPAD-502 chlorophyll meter, and the RGN images composed by the channel R, G and NIR are captured with the imaging system. Secondly, the 3D model is built from the RGN images and the RGN texture map containing all the information of R, G and NIR is generated. Thirdly, the regression model between chlorophyll content and color characteristics is established. Finally, the 3D distribution of chlorophyll in rice is captured by mapping the 2D distribution map of chlorophyll calculated by the regression model to the 3D model. This methodology achieves the combination of phenotype and physiology, it can calculated the 3D distribution of chlorophyll in rice well. The color characteristic g is good indicator of chlorophyll content which can be used to measure the 3D distribution of chlorophyll quickly. Moreover, the methodology can be used to high throughout analyze the rice.
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Zong-nan Li, Jing Xie, and Jian Zhang "Three dimensional (3D) distribution calculation of chlorophyll in rice based on infrared imaging technique", Proc. SPIE 9300, International Symposium on Optoelectronic Technology and Application 2014: Infrared Technology and Applications, 93002H (20 November 2014); https://doi.org/10.1117/12.2073219
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KEYWORDS
3D modeling

RGB color model

Near infrared

3D image processing

Volume rendering

3D metrology

Cameras

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