L Shamir, SM Ling, WW Scott, A Bos… - IEEE Transactions …, 2008 - ieeexplore.ieee.org
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 …
Z Chen, SK Sun - IEEE Transactions on image processing, 2009 - ieeexplore.ieee.org
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 …
S Chen, A Malik, X Zhang, G Feng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …
L Kotoulas, I Andreadis - 5th int. conf. on technology and automation …, 2005 - icta05.teithe.gr
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 …