An automatic leaf analysis system

Guo-Shiang Lin, Tai-Yu Su, Jun-Hong Lin, Yi-Ting Chen, Chan-Han Ya, Fu-You Li
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Abstract

In this paper, we proposed an automatic vision-based leaf analysis system. The proposed system is composed of two units: image acquisition unit and image analysis unit. To evaluate the proposed scheme, several images containing different species of leaves are captured by using low-cost webcam. Experimental results show that our proposed system can detect leaf regions well in images. In addition, the accuracy rate of the proposed system for measuring leaf area is more than 99%. In addition, the average execution time for each image is 143.8 msecs. These results demonstrate that our proposed system can not only efficiently locate and measure leaf areas but also count leaves in real-world noisy images.
叶片自动分析系统
本文提出了一种基于视觉的叶片自动分析系统。该系统由图像采集单元和图像分析单元两部分组成。为了评估所提出的方案,使用低成本的网络摄像机拍摄了几种包含不同种类叶子的图像。实验结果表明,该系统可以很好地检测图像中的叶子区域。此外,该系统的叶面积测量准确率在99%以上。此外,每个映像的平均执行时间为143.8毫秒。实验结果表明,本文提出的系统不仅可以有效地定位和测量叶片面积,而且可以在真实的噪声图像中进行叶片计数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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