An Image Fusion Algorithm Based on Discrete Wavelet Transform and Canny Operator

被引:0
作者
Deng, Ai [1 ]
Wu, Jin [1 ]
Yang, Shen [1 ]
机构
[1] Wuhan Univ Sci & Technol, Dept Informat Sci & Engn, Wuhan, Peoples R China
来源
ADVANCED RESEARCH ON COMPUTER EDUCATION, SIMULATION AND MODELING, PT I | 2011年 / 175卷
关键词
image fusion; wavelet transform; canny operator; edge detection;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Choosing one reliable and effective fusion method to determine fusion coefficients is the key of the image fusion. This text puts forwards a new algorithm based on discrete wavelet transform (DWT) and canny operator from the perspective of the edge detection. First make original images multi-scale decomposed using DWT, and then acquire the level, vertical as well as diagonal edge information by detecting low-frequency and high-frequency components' edges. Whereafter carry out a comparison of the energy of each pixel and consistency verification to more accurately determine the edge points and ensure the clarity of the fusion image. The comparison between the traditional method and this new method is made from the three aspects: independent factors, united factors and comprehensive evaluation. The experiment proved the usefulness of the method, which is able to keep the edges and obtain better visual effect.
引用
收藏
页码:32 / 38
页数:7
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