Title :
A wavelet and Canny based image comparison
Author :
Chan, Woon Chung ; Le, Minh Viet ; Le, Phu Dung
Author_Institution :
Fac. of Inf. Technol., Monash Univ., Melbourne, Vic., Australia
Abstract :
A robust and reliable image comparison method enables many computer vision applications such as wireless surveillance systems, fingerprint and face recognition. In this paper, we propose an image comparison method that can indicate reliably the similarity and difference between two images. It is constructed by combining an image quality measure and a simple Canny based image comparison metric. Our experiment results show that it is tolerant to random noise, structured noise and invariant to the affine transformation.
Keywords :
image denoising; image matching; image resolution; visual databases; wavelet transforms; affine transformation; computer vision application; face recognition; fingerprint recognition; image quality measure; random noise; wavelet-based image comparison Canny-based image comparison; wireless surveillance system; Computer integrated manufacturing; Data security; Image databases; Image edge detection; Image quality; Noise measurement; PSNR; Pixel; Robustness; Surveillance;
Conference_Titel :
Cybernetics and Intelligent Systems, 2004 IEEE Conference on
Print_ISBN :
0-7803-8643-4
DOI :
10.1109/ICCIS.2004.1460435
