基于Android系统的农作物叶片面积算法研究  

Research on Algorithm of Crop Leaf Area Based on Android system

作　　者：许晶[1] 关海鸥[1] 王璐[1] XU Jing;GUAN Haiou;WANG Lu(College of Information and Electrical Engineering,Heilongjiang Bayi Agricultural University,Daqing Heilongjiang 163319,China)

机构地区：[1]黑龙江八一农垦大学信息与电气工程学院,黑龙江大庆163319

出　　处：《信息与电脑》2022年第3期38-40,共3页Information & Computer

摘　　要：本文应用图像的灰度识别、二值化处理以及拉普拉斯边缘检测算法处理采集到的农作物叶片图像,使用阈值方法Otus进行图像分割,高效、准确地计算出农作物叶片面积。并结合Windows和Android系统实现了电脑端和手机端的系统呈现,大大改进了传统叶片面积测量方法。其中,基于Android系统的智能端图像获取清晰,使用便捷,数据可靠性高,为随时进行农作物叶片测量提供精准依据。In this paper,the collected crop leaf images are processed by using gray recognition,binary processing and Laplace edge detection algorithm.The threshold method Otus is used for image segmentation to calculate the crop leaf area efficiently and accurately.Combined with Windows and Android system,the system presentation of computer and mobile phone is realized,which greatly improves the traditional leaf area measurement method.Among them,the intelligent terminal based on Android system has clear image acquisition,convenient use and high data reliability,which provides an accurate basis for crop leaf measurement at any time.

关 键 词：ANDROID 叶面积 灰度识别 二值化 阈值分割 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]