基于Canny边缘检测提取方法的图像处理白菜叶宽度检测

Brenda, Budhi Irawan, C. Setianingsih
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引用次数: 1

摘要

白菜是一种蔬菜植物,可以在土壤和水培介质中生长。通过了解植物叶子的宽度,可以监测植物的生长情况。本研究创造了一种工具,通过监测植物生长情况,通过人们的研究实施,以一种可以检测植物叶片宽度的移动应用程序的形式来准确检测植物叶片宽度。采用canny边缘检测方法,系统精度为95.06%,光强为18.75 lux,角度为90°,距离为30 cm。柏菜植株生长观察4周,第2周精度最高,平均精度为99%,平均光强值为22 lux。
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Pak Choy Leaf Width Detection using Image Processing with Canny Edge Detection Extraction Method
Pak Choy plant is a vegetable plant that can grow with soil and hydroponic media. Plant growth can be monitored by knowing the width of the plant's leaves. This research creates a tool to accurately detect plant leaf width through plant growth monitored by the people-research implementation in the form of a mobile application that can detect the width of plant leaves. Using the canny edge detection method, the results obtained system accuracy of 95.06%, the light intensity of 18.75 lux, angle of 90°, and distance of 30 cm. Pak Choy plant growth was seen for 4 weeks, the best accuracy was obtained at 2nd week with an average accuracy of 99% and an average light intensity value of 22 lux.
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