Real Time Mosaic Algorithm Of Container Panoramic Image

In recent years,with the increasing level of science and technology,the application of image mosaic technology in various fields has attracted more and more attention.The automatic construction of large-scale high-resolution image mosaic is an active research hotspot in the fields of photogrammetry,computer vision,image processing,medical image,realistic rendering,robot vision and computer graphics.Image mosaic can merge multiple images from different time,different angles or different camera equipment into high-quality,high information and high-resolution panorama.It is a common and popular method to effectively increase the image visual scene.Image mosaic provides the necessary preprocessing work for the follow-up computer vision work(such as target recognition,target detection,etc.),which has very high research significance and practical value.How to realize the real-time mosaic of panoramic images without gaps is the key and difficult problem in reality.Aiming at the problem of panoramic image mosaic of Customs container in reality,this paper proposes an image mosaic algorithm based on integral image and similar block matching.The algorithm achieves good results both in speed and vision.The first chapter of this paper introduces the research status of image mosaic at home and abroad,and expounds the significance of the research.The second chapter introduces several classical algorithms in the field of image mosaic,and analyzes the advantages and disadvantages of each algorithm.In the third chapter,a real-time image mosaic algorithm based on similar block matching is proposed,which uses the integral image to quickly solve the local variance of the image and screen out the candidate corners to improve the calculation speed of the algorithm;Next,using the similarity of corners between the two images,we use similar block matching to get pairs of corners;Then,the corner registration images are used to fuse each other into a panoramic image of the container.The fourth chapter is the experimental results,which compares the computing speed of the proposed algorithm and the mainstream algorithm.The experimental results show that the proposed algorithm has high real-time performance and good stitching effect.