基于激光智能视觉的芒果等级判断

发布时间：2018-06-18 01:15

  本文选题：激光智能视觉 + 摄像机标定　； 参考：《激光杂志》2017年06期

【摘要】：为增强芒果等级判断方法的智能性,处理好智能识别中光线与芒果表面之间的光学干扰现象,提出基于激光智能视觉的芒果等级判断方法。首先利用激光智能视觉摄像机拍摄芒果图像,将图像经摄像机坐标系转换到绝对坐标系中进行显示,然后采用一种兼容性标定方法进行摄像机标定,实现激光智能视觉参数优化,通过对芒果图像进行三维重建来提高图像清晰度,利用色彩转换公式提取三维重建图像灰度值,最后根据灰度标准进行芒果等级判断。实验结果表明,该方法在不同光线下均可获取很高的有效识别率。
[Abstract]:In order to enhance the intelligence of mango grade judgment method and deal with the optical interference between light and mango surface in intelligent recognition, a method of mango grade judgment based on laser intelligent vision is proposed. Firstly, the mango image is captured by the laser intelligent visual camera, and the image is displayed in the absolute coordinate system by the camera coordinate system. Then, a compatible calibration method is used to calibrate the mango image. The optimization of laser vision parameters is realized. The definition of mango image is improved by 3D reconstruction. The gray value of 3D reconstructed image is extracted by color conversion formula. Finally, the grade of mango is judged according to the gray scale standard. The experimental results show that the method can obtain a high effective recognition rate under different light conditions.
【作者单位】： 攀枝花学院;
【基金】：四川省科技计划项目(2014RZ0026) 西南少数民族研究中心项目(XNYJY1605)
【分类号】：TN249;TP391.41
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本文编号：2033327