FAST TARGET RANGING ALGORITHM BASED ON BINOCULAR VISIONS

In order to improve the computational efficiency and ensure the accuracy of ranging, a stereo matching algorithm based on improved Census transformation theory is proposed for specific application scenarios. In order to reduce the pixel requirements required for calculation, the optimized ranging method was adopted to improve the data computing efficiency of binocular cameras in specific application scenarios and speed up the computing speed of hardware through image analysis methods such as image graying, pixel value averaging, pixel calibration comparison and pixel point replacement for video images obtained by dual cameras. The fast, stable and effective operation of the algorithm was achieved. According to the analysis of experimental results, the algorithm has a good effect on image noise suppression, and shows better stability and higher computational efficiency in practical application.