The completeness property of a set of invariant descriptors is of fundamental importance
from the theoretical as well as the practical points of view. In this paper, we propose a …

The first introduction of 2-D moments in engineering life was performed by Hu in 1962 [60].
Hu proposed the 2-D geometric moments of a distribution function (an image) as a …

This paper introduces and evaluates a fast exact algorithm and a series of faster
approximate algorithms for the computation of 3D geometric moments from an unstructured …

The wavelet moments are very useful image descriptors which contain both global and local
characteristics of an image. Its usefulness is further characterized by rotation invariant …

A detailed, comparative study of the numerical stability of the recursive algorithms, widely
used to calculate the Zernike moments of an image, is presented in this paper. While many …

We propose multiresolution filter bank techniques to construct rotationally invariant
moments. The multiresolution pyramid motivates a simple but efficient feature selection …

We propose multiresolution filter bank techniques to construct rotationally invariant
moments. The multiresolution pyramid motivates a simple but efficient feature selection …

Zernike moments are widely applied in digital image processing fields based on many
desirable properties, such as rotational invariance, noise robust and efficient representation …

Although content-based image retrieval (CBIR) is not a new subject, it keeps attracting more
and more attention, as the amount of images grow tremendously due to internet …

Image mining is a process to find valid, useful, and understandable knowledge from large
image sets or image databases. Image mining combines the areas of content-based image …