基于Android系统手机的叶面积测量方法

Leaf Area Measurement Using Android OS Mobile Phone

摘要:

为了快速无损测量植物叶片的面积,利用Java编写的软件，以Android智能手机为工作平台,使用图像处理技术对植物叶片面积进行测量。测量步骤分为:图像获取、图像分割、图像二值化、滤波去噪、叶片面积计算。采用该方法分别对面积为100mm2的三角形、100mm2的正方形、314.15mm2的圆、112.26mm2的正五角星在150mm和200~800mm之间间隔为100mm的8个距离段进行了面积测量,结果显示其测量误差范围在-0.62%~0.79%之间。应用该方法测量了代表不同植物叶片形状的番茄、茄子和枫叶叶片，当手机和叶片的距离在300~600mm时，测量结果与LI—3100型叶面仪测得的结果偏差在±1%以内，其他距离段偏差均大于1%。本研究设置图像为2560像素×1920像素，测量精度能达到0.001cm2，证明该方法具备精确测量叶片面积的能力。

Abstract:

The goal of this study was to develop a method based on Android OS mobile phone by using image processing to rapidly and non-destructively determine leaf area (LA). Software using Java language was used to estimate LA. The steps for processing each image were as follows: image collection, image segmentation, image binarazition, filtering and LA calculation. The proposed method was carried out on triangle of 100mm2, square of 100mm2, circle of 314.15mm2 and five-pointed star of 112.26mm2 in eight distance ranges by AutoCAD precision drawings. The test result showed that the measured error was in the range of -0.62% to 0.79%. The proposed method was applied to measure different leaves representing varied shapes and sizes, such as tomato, eggplant and maple representing. The measured error was within ±1% compared with type LI—3100 leaf measuring device when the distance between mobile and leaf was 300～600mm. The picture sizes were 2560 pixels×1920 pixels and the measuring accuracy was 0.001cm2 in this work, which showed the proposed method could measure leaf areas accurately.