本文選題：激光智能視覺 + 攝像機標定�。� 參考：《激光雜志》2017年06期

【摘要】：為增強芒果等級判斷方法的智能性,處理好智能識別中光線與芒果表面之間的光學干擾現(xiàn)象,提出基于激光智能視覺的芒果等級判斷方法。首先利用激光智能視覺攝像機拍攝芒果圖像,將圖像經(jīng)攝像機坐標系轉(zhuǎn)換到絕對坐標系中進行顯示,然后采用一種兼容性標定方法進行攝像機標定,實現(xiàn)激光智能視覺參數(shù)優(yōu)化,通過對芒果圖像進行三維重建來提高圖像清晰度,利用色彩轉(zhuǎn)換公式提取三維重建圖像灰度值,最后根據(jù)灰度標準進行芒果等級判斷。實驗結(jié)果表明,該方法在不同光線下均可獲取很高的有效識別率。
[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.
【作者單位】： 攀枝花學院;
【基金】：四川省科技計劃項目(2014RZ0026) 西南少數(shù)民族研究中心項目(XNYJY1605)
【分類號】：TN249;TP391.41
，

本文編號：2033327