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underwater terrain Image Stitching Based on Spatial Gradient Feature Block

Computers, Materials & Continua 2022年第8期72卷 4157-4171页

作者： Zhenzhou Wang Jiashuo Li Xiang Wang Xuanhao Niu School of Information Science and Engineering Hebei University of Science and TechnologyShijiazhuang050018China Case Western Reserve University Cleveland44106USA

At present,underwater terrain images are all strip-shaped small fragment images preprocessed by the side-scan sonar imaging ***,the processed underwater terrain images have inconspicuous and few feature *** order to better realize the stitching of underwater terrain images and solve the problems of slow traditional image stitching speed,we proposed an improved algorithm for underwater terrain image stitching based on spatial gradient feature ***,the spatial gradient fuzzy C-Means algorithm is used to divide the underwater terrain image into feature blocks with the fusion of spatial gradient *** accelerated-KAZE(AKAZE)algorithm is used to combine the feature block information to match the reference image and the target ***,the random sample consensus(RANSAC)is applied to optimize the matching ***,image fusion is performed with the global homography and the optimal seam-line method to improve the accuracy of image overlay *** experimental results show that the proposed method in this paper effectively divides images into feature blocks by combining spatial information and gradient information,which not only solves the problem of stitching failure of underwater terrain images due to unobvious features,and further reduces the sensitivity to noise,but also effectively reduces the iterative calculation in the feature point matching process of the traditional method,and improves the stitching *** and shape warping are significantly eliminated by re-optimizing the overlap of the image.

关键词： underwater terrain images image stitching feature block fuzzy C-means spatial gradient information A-KAZE

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