Authors

Abstract

In this paper, aiming at the need of stable access to visual information of intelligent management of greenhouse tomatoes, the color correction method of tomato plant image based on high dynamic range imaging technology was studied, in order to overcome the objective limitation of complex natural lighting conditions on the stable color presentation of working objects. In view of the color distortion caused by the temporal and spatial fluctuation of illumination in greenhouse and sudden change of radiation intensity in complex background, a calibration method of camera radiation response model based on multi-exposure intensity images is proposed. The fusion effect of multi band image is evaluated by field test. The results show that after multi band image fusion processing, the brightness difference between the recognized target and other near color background is significantly enhanced, and the brightness fluctuation of the background is suppressed. The color correction method was verified by field experiments, and the gray information, discrete degree and clarity of tomato plant images in different scenes and periods were improved.

Abstract in Chinese

本文针对温室番茄智能管理对视觉信息稳定存取的需要，研究了基于高动态范围成像技术的番茄植株图像颜色校正方法，为了克服复杂自然光照条件对工作物体稳定色彩呈现的客观限制。针对温室内光照的时空波动和复杂背景下辐射强度的突变引起的颜色畸变，提出了一种基于多曝光强度图像的摄像机辐射响应模型标定方法。通过现场测试，评价了多波段图像的融合效果。结果表明，经过多波段图像融合处理后，识别出的目标与其它近彩色背景的亮度差异显著增强，背景亮度波动得到抑制。通过田间试验验证了该方法的有效性，提高了不同场景、不同时期番茄植株图像的灰度信息、离散度和清晰度。