Abstract
ABSTRACT The binocular stereo vision system was established in order to automatically measure the seedling perpendicularity without touching. Firstly, the designed idea of calibration referenced objects was described and image edge tracing technique was proposed to acquire image coordinates of the control points. The simple linear method was used to calibrate two cameras in the system. Secondly, two seedling images with 24 bits color were obtained after camera calibration, and then image segmentation was performed to extract seedling from the soil background. After that, image graying and image binarization processing was implemented. In binary image , a new algorithm was proposed to express the angle information of seedling as a line for each of the two seedling images in 2D spa ce. Finally, line reconstruction in 3D space was accomplished based on two cameras parameter and the two simplified lines. So the seedling space angel can be calculated through the reconstructed line equation. The experiments show that the linear camera calibration method and our proposed algorithms can achieve better precision. The stereo vision measurement system can meet the need of practical application. Keywords: Seedling perpendicularity, stereo vision, camera calibration, image processing
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