  Due to the massive increase in astronomical images (such as James Webb and
Solar Dynamic Observatory), automatic image description is essential for solar
and astronomical. Zernike moments (ZMs) are unique due to the orthogonality and
completeness of Zernike polynomials (ZPs); hence valuable to convert a
two-dimensional image to one-dimensional series of complex numbers. The
magnitude of ZMs is rotation invariant, and by applying image normalization,
scale and translation invariants can be made, which are helpful properties for
describing solar and astronomical images. In this package, we describe the
characteristics of ZMs via several examples of solar (large and small scale)
features and astronomical images. ZMs can describe the structure and morphology
of objects in an image to apply machine learning to identify and track the
features in several disciplines.
