电子科技2026，Vol.39Issue(7)：7-13,7.DOI:10.16180/j.cnki.issn1007-7820.2026.07.002
基于图像处理的植物叶片属性测量算法
Research of Leaf Properties Measurement Algorithm Based on Image Processing
摘要
Abstract
Plant leaves are the main organs for photosynthesis and transpiration in plants.The growth environ-ment and health condition of plants are related to the size of their leaves.Plants can be classified based on the char-acteristic attributes of their leaves.In order to calculate the area and circumference of plant leaves,a leaf attribute measurement algorithm based on image processing is proposed.The plant leaf images are preprocessed such as en-hancement and filtering to improve the image quality and reduce the influence of noise.The leaf edge contour and leaf target area are extracted after image segmentation using the maximum between-to-class variance method.To address the issue of hollow points in the target area,morphological operations are used to remove the hollow points and extract the entire area of the leaf.The number of pixels is counted to obtain the leaf area.The perimeter attribute is calculat-ed based on the blade profile and chain code direction code to improve the accuracy of perimeter measurement.The experimental results show that the proposed algorithm can accurately measure the attributes of plant leaves,has high measurement accuracy,and is applicable to different plant species.关键词
植物叶片/滤波/图像分割/边缘检测/形态学运算/连通域检测/周长测量/面积测量Key words
plant leaf/filter/image segment/contour detect/morphological operation/connected components de-tect/perimeter measurement/area measurement分类
信息技术与安全科学引用本文复制引用
关静,楼飞..基于图像处理的植物叶片属性测量算法[J].电子科技,2026,39(7):7-13,7.基金项目
江苏省自然科学基金(BK20160563) Natural Science Foundation of Jiangsu(BK20160563) （BK20160563）
