【摘要】 图像拼接技术其关键在于解决拼接图像配准问题,以及如何针对多幅相关图像,进行无缝接合形成连贯的没有拼接痕迹的图像。本文针对上述问题,提出了一种算法。首先对小波域的图像信息采用灰度相关法进行匹配搜索,使用RANSAC算法对匹配点进行提纯;然后在小波域生成自适应滤波器,并在图像的拼缝处作滤波处理,得到拼接后的小波系数矩阵;对小波系数矩阵进行小波逆变换还原图像。实验结果表明:在小波域对图像进行拼接,而且在接缝处根据两幅图像的自身信息进行自适应滤波(即时改变滤波器形态),故它很好地平滑了拼接中出现的接缝。更多还原

【Abstract】 Image mosaic in image processing is widely used.However,its key issue is image registration,and clear mosaic from several relevant images with no splicing trace.Therefore,an algorithm is put forward:firstly,gray correlation method is utilized for matching search with image information in wavelet domain,and random sample consensus(RANSAC)algorithm is used to work on match point;Secondly,adaptive filtering is established in the wavelet domain for image flat-fell,and the wavelet coefficient matrix is concluded;Finally,wavelet inverse transform on the wavelet coefficient matrix.Experimental results show that the proposed algorithm can finely smooth the seam-line on the mosaicking boundary thanks to image mosaic in wavelet domain and adaptive filtering(instant changing filter’s form)according to the adjacent two images’ own information.更多还原