[1]孟祥丽,刘一鸣,刘瑶*,等. 基于摄影测量技术的植物叶面积精确测量方法研究[J].西北林学院学报,2019,34(2):222-226.[doi:10.3969/j.issn.1001-7461.2019.02.33]
　MENG Xiang-li,LIU Yi-ming,LIU Yao*,et al. Precise Measurement of Plant Leaf Area Based on Photogrammetry Technology[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2019,34(2):222-226.[doi:10.3969/j.issn.1001-7461.2019.02.33]
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 基于摄影测量技术的植物叶面积精确测量方法研究()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第34卷
期数:
2019年第2期
页码:
222-226
栏目:
出版日期:
2019-03-31

文章信息/Info

Title:
 Precise Measurement of Plant Leaf Area Based on Photogrammetry Technology
文章编号:
1001-7461(2019)02-0222-05
作者:
 孟祥丽1; 刘一鸣2; 刘瑶1*; 吴涛1*
 （1.岭南师范学院 信息工程学院，广东 湛江 524048；2.广东湛江红树林国家级自然保护区管理局，广东 湛江 524088）
Author(s):
 MENG Xiang-li1; LIU Yi-ming2; LIU Yao1*; WU Tao1*
 (1.School of Information Engineering,Lingnan Normal University,Zhanjiang 524048,Guangdong,China; 2.Administrative Bureau of Guangdong Zhanjiang Mangrove National Nature Reserve,Zhanjiang 524088,Guangdong,China)
关键词:
 ; 摄影测量; 叶面积; 标志点; 几何校正; 双线性插值
Keywords:
 ; photogrammetry;  leaf area;  marker point;  geometric correction;  bilinear interpolation
分类号:
S758
DOI:
10.3969/j.issn.1001-7461.2019.02.33
文献标志码:
A
摘要:
 为提高叶片面积测量精度，选择的参照物面积应与被测叶片面积相近。研究设计多个由圆形标志点作为顶点的参照矩形，其中构成矩形顶点的4个标志点中3个为非编码标志点，1个为编码标志点，通过对编码标志点进行解码，自动获取非编码标志点位置和参照矩形面积，利用标志点的已知参数对图像进行几何校正。测量步骤分别为参照矩形选择、图像采集、图像预处理、标志点提取、几何校正、叶面积计算。对5种已知面积的规则图形和不规则图形进行5次测量试验，规则图形的最大平均误差为0.193%，不规则图形的最大平均误差为0.53%。结果表明，对于较大或者较小面积的叶片，本方法都具有较高的测量精度；并且具有较好的通用性，适用于室内、室外无损测量，为叶面积的测量提供了切实可行的新途径。
Abstract:
 In order to improve the precision of leaf blade area measurement,the area of the selected reference object should be similar to the area of the tested leaf blade.In this paper,a rectangle was taken as the reference shape,whose vertex was made up of circular marker points.Three of the four marker points were non-encoded,and one was encoded.The position of the non-encoding marker points and the area of the reference rectangle were automatically obtained by decoding the encoded marker points.The known parameters of the marker point could be used to perform geometric correction.The measurement steps were divided into reference rectangle selection,image acquisition,image preprocessing,marker point extraction,geometric correction and leaf area calculation.For both regular and irregular patterns,five measurements were performed on five known areas,respectively.For regular pattern,the maximum of average error was 0.193%,and for irregular pattern,it was 0.53%.The results showed that the method had high measuring accuracy for both large and small leaf blade area,and had good universality for indoor and outdoor non-destructive measurement.The method provided a new way for the measurement of leaf area.

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备注/Memo

备注/Memo:
 收稿日期：2018-05-04修回日期：2018-10-17
基金项目：广东高校省级重点平台和重大科研项目“基于数字图像处理的试卷直接答题自动阅卷方法研究”（2017GXJK104）；岭南师范学院校级项目“纸质调查问卷自动识别关键技术研究”（LY1813）。
作者简介：孟祥丽，女，硕士，讲师，研究方向：机器视觉，摄影测量。E-mail：mengxl@lingnan.edu.cn
*通信作者：刘瑶，女，博士，讲师，研究方向：模式识别。E-mail：liuyao@lingnan.edu.cn
吴涛，男，博士，副教授，研究方向:智能信息处理。E-mail：wutao@whu.edu.cn
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