Underwater Image Stitching based on SIFT and Wavelet Fusion

被引：7

作者：

Chen, Meimei ^{[1
]}

Nian, Rui ^{[1
]}

He, Bo ^{[1
]}

Qiu, Shuqi ^{[1
]}

Liu, Xuefei ^{[1
]}

Yan, Tianhong ^{[2
]}

机构：

[1] Ocean Univ China, Sch Informat Sci & Engn, 238 Songling Rd, Qingdao, Peoples R China

[2] China Jiliang Univ, Dept Mech & Elect Engn, Hangzhou, Zhejiang, Peoples R China

来源：

OCEANS 2015 - GENOVA | 2015年

关键词：

Underwater image stitching; SIFT; RANSAC; Wavelet fusion; MODEL;

D O I：

10.1109/OCEANS-Genova.2015.7271744

中图分类号：

U6 [水路运输]; P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

In this paper, we present one underwater image stitching model combined with the Scale Invariant Feature Transform (SIFT) and the wavelet fusion. Poor visibility in the sea and the variations in the illumination, viewpoints, etc., have been comprehensively taken into consideration for image matching. Wavelet fusion is then made full use of to undertake the underwater image mosaic. It is shown in the simulation experiment that the proposed approach could achieve great performances in both robustness and effectiveness, with good behaviors in the vision effects and matching precision for the underwater images.

引用

页数：4

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