Protein–protein interactions (PPIs) play an important role in most of the biological processes.
How to correctly and efficiently detect protein interaction is a problem that is worth studying …

Orthogonal moments are the projections of image functions onto particular kernel functions.
They play vital role in digital image feature extraction being rotation, scaling, translation …

Orthogonal moments play an important role in image analysis and other similar applications.
However, existing orthogonal moments are restricted to integer order, and little investigation …

The implementation of dairy cow identification will be of great significance in precision
animal management based on computer vision. In this study, a computer vision technique to …

The theory of moments and transforms is well established and widely applied to a number of
computer vision, pattern recognition and image processing applications. A sub-class of …

Protein–protein interactions (PPIs) are essential for most living organisms' process. Thus,
detecting PPIs is extremely important to understand the molecular mechanisms of biological …

This work proposes a novel face recognition method based on Zernike moments (ZMs) and
Hermite kernels (HKs) to cope with variations in facial expression, changes in head pose …

Orthogonal rotation invariant moments (ORIMs) have been used in many pattern recognition
and image processing applications in the last three decades. Most of the applications relate …

Moment invariants are important shape descriptors in computer vision. In this study, we
propose new sets of quaternion moment descriptors for color image. They are constructed in …

Moments and moment invariants have become a powerful tool in image processing owing to
their image description capability and invariance property. But, conventional methods are …