Research And Application On Image Mosaic

The purpose of image mosaic is to make several images which have overlapping regionsinto a high resolution panoramic images.It is a research focus in digital image processingfield,and image mosaic technology has a wide range of applications in virtual reality,medicalimaging,remote sensing and many other fields.In this paper,the main research contents and results are as follows:1.This paper summarizes the general process and related algorithms of imagemosaic,then it introduces the knowledge of image acquisition,image noise suppression andtransformation model.Besides,it completes the median filter simulation experiment,and thesimulation experiment results show that denoising effect of median filter is good.2.This paper analyzes and compares the features,performance and implementation stepsof several common image registrationg methods.It focuses on the study of image registrationmethods based on feature points,then it put forward three kinds of corner detection operatorMoravec,SUSAN and Harris,and each principle,methods,advantages and disadvantages arediscussed in detail.Besides,it completes simulation experiment of the Harris corner detectionalgorithm and normalized cross correlation matching algorithm.The simulation results showthat algorithm has a certain number of false matching points.3.This paper presents an improved feature point matching algorithm.This improvedalgorithm first uses the normalized cross correlation method for initial matching,and then onthe basis of distance similarity between feature points,this algorithm uses match degree on thewhole for precise matching,thereby it can eliminate the false matching points.The experimentresults show that this improved algorithm has a significant effect on improving imagestitching accuracy and real-time performance.4.This paper designs and develops an image mosaicing system.This system is able tocomplete image pretreatment,such as denoising,gray,edge extraction and so on.On the basis ofHarris corner detecting algorithm and the improved feature point matching algorithm,this system finally achieves image seamless splicing.After a large number of image stitchingexperiment,this image mosaic system in accuracy and real-time performance can satisfy thebasic needs.