A Fast SIFT Image Mosaic Algorithm Based on Wavelet Transformation
Yuan Zuo · Chongqing Shifan Daxue xuebao. Ziran kexue ban · 2014
Recently,SIFT feature matching algorithm is becoming the focus of the image mosaic.In traditional SIFT algorithm,the mosaic procedure is computationally intensive and time-comsuming.For solving this problem,an improved SIFT algorithm is presented in this paper.The proposed algorithm combing wavelet transform into SIFT to simplify the scale-invariant feature extraction process,and speed up the image mosaic.The tests of two images mosaicing with the classical SIFT algorithm and the algorithm proposed in this paper have done respectively.With the control parameterα=0.5,the classical SIFT algorithm took 1.192 891seconds to extract the feature points,while the improved algorithm took 0.856 712seconds.The contrast simulation tests demonstrate the validity of the proposed algorithm,and show that the speed and accuracy of the proposed algorithm is improved,at the same time the effect of the image mosaic is maintained.