Presents recent significant and rapid development in the field of 2D and 3D image analysis
2D and 3D Image Analysis by Moments, is a unique compendium of moment-based image …

In this article, we propose a novel approach to accelerate the processing of 3D images by
the discrete orthogonal moments of Charlier. The proposed approach is based on two …

Alzheimer's disease (AD) is a neurodegenerative disease and the most common cause of
dementia among older adults. Mild cognitive impairment (MCI) is considered a transitional …

A new set of Gegenbauer moment invariants is proposed for pattern recognition
applications. These moment invariants are expressed as a linear combination of geometric …

The point clouds provide responsive geometric representation on many applications. The
classification of objects through point clouds is one of the popular subjects of recent years. In …

Accepted: 8 March 2021 In this paper, we propose a method for classification 3D human
activities using the complementarity of CNNs, LSTMs, and DNNs by combining them into …

The 3D Zernike polynomials form an orthonormal basis of the unit ball. The associated 3D
Zernike moments have been successfully applied for 3D shape recognition; they are popular …

The 3-D Zernike descriptors are investigated for an efficient terrain matching algorithm. The
maximum order of the 3-D Zernike moments and the template size are determined. The odd …

Dose conformity is an essential parameter used in radiotherapy and radiosurgery that
measures the correspondence of the dose distribution derived from a Treatment Planning …

Since the descriptors based on Three-Dimensional (3D) Zernike moments are robust to
geometric transformations and noise, they have been proposed for terrain matching …