DocumentCode
535113
Title
Images matching based on edge maps and wavelet transform
Author
Lee, Mong-Shu ; Chen, Mu-Yen ; Jwo, Dah-Jing
Author_Institution
Dept. of Comput. Sci. & Eng., Nat. Taiwan Ocean Univ., Keelung, Taiwan
Volume
3
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
1054
Lastpage
1058
Abstract
A structure-based image similarity measurement called DTWT-SSIM is presented. The main idea behind DTWT-SSIM is to combine the shift-invariance advantage of dual-tree wavelet transform (DTWT) with the structure-preserving property of the structural similarity metrics (SSIM). A series of experimental results show the improved measurement to be an effective and stable metric in the comparison of edge maps when small noise and distortion appear in the images.
Keywords
edge detection; image denoising; image matching; wavelet transforms; DTWT-SSIM; dual-tree wavelet transform; edge maps; image matching; image noise; image similarity measurement; structural similarity metrics; Image edge detection; Indexes; Measurement; Noise; Phase change materials; Wavelet transforms; edge maps; image similarity; wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6513-2
Type
conf
DOI
10.1109/CISP.2010.5646920
Filename
5646920
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