The Image Process And Location Technology Research Based On Binocular Vision

Binocular vision is an important part of machine vision,which is also a vital development research in both domestic and foreign.As a result of the complete positioning function of the monocular vision has certain limitations,a camera shooting on many times on the target object will lead to a lot of detail missing,leading to positioning accuracy greatly reduced.So the binocular vision in positioning system is a key technology.This article developed a positioning system based on binocular vision mainly under the Windows environment.After reading many references,Space of target objects can be three-dimensional posited combination with improving algorithms.After describing the whole process of system implementation in detail,we can conclude the reasons of errors through the comparing and analysising of experimental results.In this paper,the specific research works are as follows:Firstly,we have adopted keeping the edge of the median filtering method in the process of image preprocessing in this paper.In order to protecting the edge points,when the median and mean of the filtering window after weighted mathematical operations instead of noise point,the size of window can automatically adjust according to the image point pixels.After that,we use gray histogram equalization method to enhance image details.Secondly,Binocular stereo camera calibration has done in MATLAB experiment platform,including image reading,angular point extraction,monocular camera internal and external parameters calibration,binocular stereo camera internal and external parameters calibration.In order to obtain accurate data,we get the pictures of 20 groups.Through the analysis of experimental results,the method of camera calibration is verified correctly.Then,Stereo matching algorithm fixes matching window into adaptive matching window based on the traditional block matching algorithm.Through comparison with other simulation and other algorithms,the results show that the algorithm in matching rate and speed are improved and can get the ideal parallax figure.Finally,it has set up a experiment platform for the 3 d coordinates,on the basis of other modules algorithm proved successful.To do the previous chapters experiment for the algorithm,compared the experimental results with the actual measurement results,which can meet high efficiency.Meanwhile the image preprocessing and enhanced algorithm are verified by the correctness and timeliness methods of camera calibration and stereo matching algorithm.For the reason,it will be a certain practical reference for the promotion of binocular vision.