An Algorithmic Aspect of Zernike Moments in the Presence of Rotation
Zernike moments are widely used in image processing fields (e.g., rotation-invariant watermarking) based on many desirable properties, such as rotational invariance, noise robust and efficient representation of pattern. In image processing operations, an image after rotation will result in a bigger size for keeping the content. This will cause the difference among Zernike moments of an image and its rotated versions. In this paper, we investigate such a problem in detail and introduce a solution by normalizing original and its rotated versions into the same size. Furthermore, we propose an algorithmic scheme of Zernike moments computation. Both theoretical analysis and experimental testing show that the proposed approach can efficiently avoid the effect of the image size change under rotation.
Image watermarking Rotation Zernike moments
Shijun Xiang
Department of Electronic Engineering, School of Information Science and Technology Jinan University, Guangzhou 510632, China Key Laboratory of Network Security and Cryptology, Fujian Normal University Fuzhou 350007, China
国际会议
武汉
英文
535-539
2009-11-18（万方平台首次上网日期，不代表论文的发表时间）