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Feasibility of using Polarizing Filters to reduce Halation Effects during Image Acquisition in the Field

机译:使用偏振滤波器的可行性降低了现场图像采集期间的晕厥效应

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摘要

Machine vision is widely applied in automated inspection and monitoring systems. One of the most important components of machine vision systems is illumination. To remove and avoid halation on images, indirect lighting devices such as diffusers or domes with several lamps have been studied for post-harvest operations. However, it is difficult to control natural illumination in the field, because sunlight constitutes a point source, which causes shiny and shady parts on objects, and its intensity fluctuates with time. In addition, most parts of plants have a cuticular layer, causing halation effects, which reduce image quality. In this study, a tractor-mounted imaging system was developed to acquire high quality crop images. The system consisted of aframe box (1m X 1m X 1m), covered by a polarizing film (1m X 1m), 2 identical cameras in the box, and a PC with two image capture boards. All 4 sides of the frame box were covered with black curtains so that only polarized sunlight could enter. Polarizing filters were also fitted to the lens of one camera to compare 2 images from the cameras at a time. In experiments, images of coffee plants were acquired under varying sunlight conditions. From the results, it was observed that the polarizing filteringtechnique was capable not only reduce by 97% of halation on the surfaces of leaves but also of achieving high accuracy color representation of the leaves.
机译:机器视觉广泛应用于自动检测和监控系统。机器视觉系统最重要的组件之一是照明。为了在图像上移除并避免在图像上降低,已经研究了诸如具有几盏灯的漫射器或圆顶的间接照明装置,用于收获后操作。然而,难以控制现场的自然照明,因为阳光构成一个点源,这导致物体上的闪亮和阴暗部件,其强度随时间波动。此外,大多数植物部位具有切割层,引起晕厥效应,这降低了图像质量。在本研究中,开发了一种拖拉机安装的成像系统以获得高质量的裁剪图像。该系统由Aframe盒(1m x 1m x 1m)组成,盒子中的偏振膜(1m x 1m),2个相同的相机,以及带有两个图像捕获板的PC。框架盒的所有4个侧面都被黑色窗帘覆盖,因此只能进入偏振阳光。偏振滤光器还安装在一台相机的镜头上,以一次比较来自摄像机的2个图像。在实验中,在不同的阳光条件下获得咖啡植物的图像。从结果中,观察到偏振滤波器技术不仅能够在叶子表面上减少97%,而且可以实现叶子的高精度颜色表示。

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