基于阈值分割与形态学变化的树叶面积测量方法研究  

Study of leaf area measurement based on threshold segmentation and morphological changes

作　　者：张春玲 杨新年 向洪波 彭燕博 张伟 Zhang Chunling;Yang Xinnian;Xiang Hongbo;Peng Yanbo;Zhang Wei(Institute of Heilongjiang Technology,Electrical and Information Engineering Institute,Heilongjiang,ixi 158100,China)

机构地区：[1]黑龙江工业学院电气与信息工程学院,黑龙江鸡西158100

出　　处：《无线互联科技》2022年第19期133-136,共4页Wireless Internet Technology

基　　金：黑龙江工业学院2022年大学生创新创业项目,项目名称:基于阈值分割和形态学变化的树叶面积测量方法研究,项目编号:S202211445001。

摘　　要：在农业生产中,树叶面积为农作物合理密植提供重要依据,快速准确的测量树叶面积已成为指导农作物生产的一项重要内容。但树叶属于不规则多边形,测量较为困难,文章采用数字图像计算不规则树叶的面积。首先对采集到图像进行几何纠正,然后通过形态学变换与中值滤波相结合的方法去除图像噪音,最后通过提取目标图像的轮廓特征,计算树叶面积。此测量过程成本较低,在农业生产中具有一定指导作用。In agricultural production,leaf area measurement can provide a important reason for properly dense planting of crops.However,leaves are irregular polygons,so it is difficult to measure.In this paper,a digital image method is proposed to calculate the area of irregular leaves.Firstly,the image is geometrically corrected,and then the noise is removed by means of morphological transformation combined with median filtering.Finally,the leaf area is calculated by extracting the target image and contour features.The cost of this method is low and it has certain guiding function in agricultural production.

关 键 词：面积测量 阈值分割 形态学变换 特征提取 OPENCV 

分 类 号：S31[农业科学—作物栽培与耕作技术] TP391.41[农业科学—农艺学]