Application of Zernike moments in medical image processing
Yan Han-min · China Medical Equipment · 2012
The moment technique is an effective method for image feature description and is widely used in various fields of image processing. Zernike moments are one kind of continuous orthogonal moments. They can be used to describe the global shape features of the image. The most significant property of Zernike moments is rotation-invariance. Any high order Zernike moments can be constructed. And image reconstruction from Zernike moments can be easily achieved. Zernike moments have the minimum information redundancy and are robust and insensitive to noise. In medical image processing, Zernike moments are mainly used in edge detection and image registration. Literature survey shows that sub-pixel level edge position can be achieved based on Zernike moments and the algorithms have high noise immunity. The registration merit functions based on Zernike moments reduce the degrees of freedom needed to be optimized, and the number of iteration necessary for registration can be significantly reduced. Algorithms with Zernike moments as feature point descriptor show good registration results in the presence of image scale and rotation.