Research on Image Matching of Machine Vision

With the development of the computer vision,the machine vision especially binocular vision is widely used in many fields such as object recognition,virtual reality,industrial detection,robotic navigation,aviation and spaceflight.Image matching is the one of key techniques in machine vision.The development of machine vision depends on the efficient solution of image matching.Based on study on the existing matching algorithms,an improved algorithm aiming at the real-time and accuracy of algorithms is proposed.Experimental results show that the computational speed has been improved for one order of magnitude while the percentage of bad matching Pixels is equivalent to commonly-used area-based matching algorithm.Besides,its edge feature is better,thus it is an effective and feasible stereo matching algorithm with good real-time performance.