水稻叶片颜色可视化模拟方法研究
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摘要
提出了一种基于SPAD数据分布图像的水稻叶片颜色渲染方法。通过大田水稻样本试验采集水稻叶片图像并测定叶片SPAD值,分析并构建了SPAD值与叶片图像的R、G、B分量值之间关系模型,模型判定系数分别为0.932 8,0.833 1,0.562 3,表明SPAD与叶片图像R、G颜色分量之间存在相关性。通过SPAD数据分布图像表征SPAD值在叶片表面的空间分布状况,对叶片表面的颜色差异以及随生长时间变化过程进行可视化模拟,并通过微软的Direct3D9.0图形函数库和vc++编程,在前期水稻叶片三维模型的基础上,实现了水稻叶片颜色变化过程的可视化模拟,实现方法具有很好的推广性。
A color rendering method for rice leaves based on SPAD data distribution image was presented. Rice leaf image was collected and SPAD value was measured by field rice sample test. The relationship model between SPAD values and RGB value of leaf image was analyzed and constructed, and the R2 was 0.932 8, 0.833 1, 0.562 3 respectively. This showed that there was a correlation between SPAD and the red and green color of the leaf image. By the SPAD data distribution image, the spatial distribution of SPAD value on the leaf surface is described. The leaf surface color difference and the change with the growth time were simulated. Through Microsoft's Direct3 D9.0 graphics library and vc ++ programming, the visual simulation of rice leaf color change process based on the previous 3 D model of rice leaf was achieved. The method has good generalization.
A color rendering method for rice leaves based on SPAD data distribution image was presented. Rice leaf image was collected and SPAD value was measured by field rice sample test. The relationship model between SPAD values and RGB value of leaf image was analyzed and constructed, and the R2 was 0.932 8, 0.833 1, 0.562 3 respectively. This showed that there was a correlation between SPAD and the red and green color of the leaf image. By the SPAD data distribution image, the spatial distribution of SPAD value on the leaf surface is described. The leaf surface color difference and the change with the growth time were simulated. Through Microsoft's Direct3 D9.0 graphics library and vc ++ programming, the visual simulation of rice leaf color change process based on the previous 3 D model of rice leaf was achieved. The method has good generalization.
引文
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[16]杨红云,何火娇,孙爱珍.水稻主茎三维形态建模与计算机模拟[J].江西农业大学学报,2008,30(6):1152-1156,1160.Yang Hongyun,he Huojao,Sun Aizhen.Three dimensional morphological modeling and computer simulation of main stem of rice[J].Journal of Jiangxi Agricultural University,2008,30(6):1152-1156,1160.
[17]Esfahani M,Abbasi H,Rabiei B,et al.Improvement of nitrogen management in rice paddy fields using chlorophyll meter(SPAD)[J].Paddy and Water Environment(S1611-2490),2008,6(2):181-188.
[18]李刚华,薛利红,尤娟,等.水稻氮素和叶绿素SPAD叶位分布特点及氮素诊断的叶位选择[J].中国农业科学,2007,40(6):1127-1134.Li Ganghua,Xue Lihong,You Juan,et al.Distribution characteristics of nitrogen and chlorophyll SPAD leaf position in rice and leaf location selection of nitrogen diagnosis[J].Chinese agricultural science,2007,40(6):1127-1134.
[19]龚刚猛,杨珺,何火娇,等.水稻叶色RGB组分与SPAD的关系研究[J].中国农学通报2015,31(24):19-24.Gong Gangmeng,Yang Jun,He Huojiao,et al.Relationship between RGB components of leaf color and SPAD in rice leaves[J].Chinese agronomy bulletin,2015,31(24):19-24.
[2]Fan Jing,Yang Kefeng,Ye Yang,et al.The simulation of the growing process of virtual plant leaves[C]//Proceedings of the 2010 International Conference on Audio Language and Image Processing(ICALIP),2010:1377-1381.
[3]Peyrat A,Terraz O,Merillou S,et al.Generating vast varieties of realistic leaves with parametric 2Gmap L-systems[J].The Visual Computer(S0178-2789),2008,24(7/9):807-816.
[4]Zhou Ning,Dong Weiming,Xing Mei.Realistic simulation of seasonal variant maples[C]//2nd International Symposium on Plant Growth Modeling and Applications,2006:295-301.
[5]Zhang Y H,Liang T A N G,Liu X J,et al.Modeling dynamics of leaf color based on RGB value in rice.[J]Journal of Integrative Agriculture(S2095-3119),2014,13(4):749-759.
[6]吴文革,孔令娟,杨惠成,等.2006双季北缘地区水稻补偿超高产栽培研究[J].安徽农学通报,2006,12(11):121-128.Wu Wenji,Kong Lingjuan,Yang Huicheng,et al.Study on the compensation for super high yield cultivation of2006 double cropping northern margin area[J].Anhui agronomy bulletin,2006,12(11):121-128.
[7]Miao T,Zhao C,Guo X,et al.Visual simulating appearance of plant leaves infected by disease and insect pests.[J]Transactions of the Chinese Society of Agricultural Engineering(S1002-6819),2014,30(2):169-175.
[8]朱艳,刘小军,谭子辉,等.冬小麦叶色动态的量化研究[J].中国农业科学,2008,41(11):3851-3857.Zhu Yan,Liu Xiaojun,Tan Zihui,et al.Quantitative study on leaf color dynamics of winter wheat[J].Chinese Agricultural Sciences,2008,41(11):3851-3857.
[9]常丽英,张文宇,张玉屏,等.水稻叶色变化动态的模拟模型研究[J].作物学报,2007,33(7):1108-1115.Chang Liying,Zhang Wenyu,Zhang Yuping,et al.Simulation models of leaf color change in rice[J].Acta Sinica Acta Sinica,2007,33(7):1108-1115.
[10]Li C,Qian J,Tong R,et al.GPU based real-time simulation of massive falling leaves.[J].Computational Visual Media(S2096-0433),2015,1(4):351-358.
[11]张彦娥,李民赞,张喜杰,等.基于计算机视觉技术的温室黄瓜叶片营养信息监测[J].农业工程学报,2005,21(8):102-105.Zhang Yane,Li Minzan,Zhang Xijie,et al.Nutrition information monitoring of cucumber leaves in Greenhouse Based on computer vision technology[J].Acta agro engineering,2005,21(8):102-105.
[12]汪丽萍,陆声链,何火娇,等.基于色素浓度的黄瓜叶片渲染[J].中国体视学与图像分析,2013,18(2):123-129.Wang Liping,Lu Shenglian,He Huojiao,et al.Cucumber leaf rendering based on pigment concentration[J].Chinese stereology and image analysis,2013,18(2):123-129.
[13]苗腾,赵春江,郭新宇,等.基于叶绿素相对值的植物叶片颜色模拟方法[J].农业机械学报,2014,45(8):282-287.Miao Teng,Zhao Chunjiang,Guo Xinyu,et al.Simulation method of plant leaf color based on chlorophyll relative value[J].Acta agronomica Sinica,2014,45(8):282-287.
[14]Yang Hongyun,He Huojiao,Hu Chang.Research Based on the Three-Dimensional Visualization Modeling of Physiological and Ecological Rice Leaves[C]//Mec2013IEEE,2013:33-39.
[15]孙爱珍,何火娇,杨红云,等.基于积温变化的水稻叶形态伸展过程可视化模拟[J].江西农业大学学报,2012,34(5):1058-1063.Sun Aizhen,He Huoiao,Yang Hongyun,et al.Visual simulation of leaf morphology stretching process based on accumulated temperature changes[J].Journal of Jiangxi Agricultural University,2012,34(5):1058-1063.
[16]杨红云,何火娇,孙爱珍.水稻主茎三维形态建模与计算机模拟[J].江西农业大学学报,2008,30(6):1152-1156,1160.Yang Hongyun,he Huojao,Sun Aizhen.Three dimensional morphological modeling and computer simulation of main stem of rice[J].Journal of Jiangxi Agricultural University,2008,30(6):1152-1156,1160.
[17]Esfahani M,Abbasi H,Rabiei B,et al.Improvement of nitrogen management in rice paddy fields using chlorophyll meter(SPAD)[J].Paddy and Water Environment(S1611-2490),2008,6(2):181-188.
[18]李刚华,薛利红,尤娟,等.水稻氮素和叶绿素SPAD叶位分布特点及氮素诊断的叶位选择[J].中国农业科学,2007,40(6):1127-1134.Li Ganghua,Xue Lihong,You Juan,et al.Distribution characteristics of nitrogen and chlorophyll SPAD leaf position in rice and leaf location selection of nitrogen diagnosis[J].Chinese agricultural science,2007,40(6):1127-1134.
[19]龚刚猛,杨珺,何火娇,等.水稻叶色RGB组分与SPAD的关系研究[J].中国农学通报2015,31(24):19-24.Gong Gangmeng,Yang Jun,He Huojiao,et al.Relationship between RGB components of leaf color and SPAD in rice leaves[J].Chinese agronomy bulletin,2015,31(24):19-24.