Some research progress has been made on fractional-order continuous orthogonal
moments (FrCOMs) in the past two years. Compared with integer-order continuous …

We describe a method for automated detection of radiographic osteoarthritis (OA) in knee X-
ray images. The detection is based on the Kellgren-Lawrence (KL) classification grades …

A local image descriptor robust to the common photometric transformations (blur,
illumination, noise, and JPEG compression) and geometric transformations (rotation …

Zernike moments constitute a powerful shape descriptor in terms of robustness and
description capability. However the classical way of comparing two Zernike descriptors only …

While the MPP is still the most common architecture in supercomputer centers today, a
simpler and cheaper machine configuration is appearing at many supercomputing sites …

Watermarking by Zernike moments has been proven to be effective in providing high
rotational resistance. However, due to the high computational complexity, the conventional …

Osteoarthritis (OA) is most commonly a result of aging cartilage. Particularly in rural India,
the percentage of people affected due to OA is much larger as compared to western …

Living plant identification based on images of leaf is a very challenging task in the field of
pattern recognition and computer vision. However, leaf classification is an important …

The paper describes the calculation of the Krawtchouk Moments (KMs) from an image,
which is a computationally demanding task. We present two original methods that use the …

Moments of images provide efficient local descriptors and have been used extensively in
image analysis applications. Their main advantage is their ability to provide invariant …