中文说明：Zernike 矩是图像的映射到一组复杂的泽尼克多项式。Zernike 多项式正交海誓山盟，Zernike 矩能够代表交错图像没有冗余或重叠的信息之间的时刻。Zernike 矩是对象的显著依赖于翻译中的 ROI 与缩放。尽管如此，其震级是独立于该对象的旋转角度。因此，我们可以利用它们来描述对象的形状特征。例如，我们利用 Zernike 矩提取良性和恶性乳腺肿块的形状信息。下面的文件中包含函数来计算径向多项式 （radialpoly.m），一个函数来计算 Zernike 矩 （Zernikmoment.m） 和一个演示说明函数如何工作 （Zernike_main.m）。
English Description：
Zernike moments are the mappings of an image onto a set of complex Zernike polynomials. Since Zernike polynomials are orthogonal to eachother, Zernike moments can represent theproperties of an image with no redundancy or overlap of information between the moments.Zernike moments are significantly dependent on the scaling and translation of the object in an ROI. Nevertheless, their magnitudes are independent of the rotation angle of the object. Hence, we can utilize them to describe shape characteristics of the objects. For instance, we took the advantage of Zernike moments to extract the shape information of benign and malignant breast masses.The following file includes a function to calculate the radial polynomials (radialpoly.m), a function to calculate the Zernike moments (Zernikmoment.m) and a demo to illustrate how the functions work (Zernike_main.m).