Study on Image Calibration Method in Automatic Meteorological Observation of Crops

2018 3rd International Conference on Insulating Materials, Material Application and Electrical Engineering

材料科学;无线电电子学;电工学

Li, Yimin^1,2 ; Tian, Dongzhe^1,2 ; Li, Xinge^2 ; Xu, Ge^2 ; Tian, Zengguo^2

27th Research Institute of China Electronic Technology Group Corporation, Zhengzhou, China^1

School of Physics Engineering, Zhengzhou University, Zhengzhou, China^2

关键词: Automatic identification;    Camera calibration;    Camera Distortion;    Distortion parameters;    Image calibration;    Image processing algorithm;    Incubation periods;    Meteorological observation;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/452/4/042197/pdf
DOI  :  10.1088/1757-899X/452/4/042197

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

The digital camera was used to collect crop real scene images in automatic observation of crop meteorology, and image processing algorithm was used to extract crop characteristics. Due to the influence of camera distortion parameters, the real images have distortion in different degrees, and there are deviations in the recognition results of the observed area, density and incubation period. According to the results of the crop automatic identification, contrast the distortion parameters of camera was analyzed, and the camera calibration algorithm is studied. Moreover, the accuracy of crop automatic observation was improved, due to the image correction.