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Position: Home > Articles > A Non-Destructive Measurement Method of Leaf Morphology Based on Binocular Vision Hubei Agricultural Sciences 2014,53 (18) 4430-4433

基于双目视觉的叶片形态无损测量方法

作  者:
崔世钢;杨莉莉;吴兴利;梁帆
单  位:
天津职业技术师范大学/天津市信息传感与智能控制重点实验室
关键词:
双目视觉;叶片形态;图像校正;像素统计;数据计算
摘  要:
利用数码相机实现对植物叶片形态的无损测量,是掌握植物生长规律、科学指导生产以及实现植物生长柜智能化控制的关键技术之一。针对叶片弯曲以及拍照过程中容易出现的几何失真等问题,提出了利用两个相互垂直的数码相机来采集图像,从侧面图像分析叶片的弯曲角度,对正面图像进行失真校正;然后根据投影原理统计出叶片的像素数目,从而得到对应的形态数据。结果表明,该方法能够有效地解决图像的二维图像失真问题,降低叶片数据计算的误差,对于促进农业科技进步、加快现代化发展具有十分重要的意义。
译  名:
A Non-Destructive Measurement Method of Leaf Morphology Based on Binocular Vision
作  者:
CUI Shi-gang;YANG Li-li;WU Xing-li;LIANG Fan;Tianjin University of Technology and Education / Tianjin Key Laboratory of Information Sensing & Intelligent Control;
关键词:
binocular vision;;leaf morphology;;image correction;;pixel statistics;;data calculation
摘  要:
The use of non-destructive measurement of digital cameras achieve leaf morphology was one of the key technologies to know the plant growth regulation and master the scientific guidance to realize the plant growth cabinet intelligent control. The use of two mutually perpendicular digital camera to capture images for curved blade and geometric distortion during taking photos was proposed. The bending angle from the side of the leaf image was analyzed. Distortion correction on the front image was made. The number of pixels according to the projection principle was statistically uesd to obtain the corresponding form data. The results showed that this method could effectively solve the two-dimensional image distortion of the image, reduce data errors blade computing. It had very important significance for promoting agricultural science and accelerating the process of modernization.

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