Simulation Research on Improved Image Mosaic Algorithm
Jieming Wu · Jisuanji fangzhen · 2012
Study image mosaicking algorithm.Due to the effects of illumination,target mobile,angle of view,and image noise,the traditional Harris feature extraction operator can not adapt to the the image distortions,and is inclinable to get wrong feature points,result inlow accuracy of image mosaicking.In order to improve the accuracy of image mosaicking,the paper put forward a kind of improved Harris operator image mosaicking method.First,the mosaicked image was smoothed and geometricly corrected,and then the improved Harris operator was used to extract image feature points.Finally,Fourier-transform was used for image registration and average value method was used for image fusion to get a panoramic image.Simulation results show that the improved algorithm not only reduces the image mosaicking time-consuming,but also improves the accuracy and efficiency of image mosaicking and achieves the seamless effect of image mosaicking.