Oil spill detection (OSD) in marine areas is an application of synthetic aperture radar (SAR)
images to protect aquatic life. In this paper, a new oil spill detection algorithm based on level …

Discrete Hahn polynomials (DHPs) and their moments are considered to be one of the
efficient orthogonal moments and they are applied in various scientific areas such as image …

Discrete orthogonal moments have several computational advantages over continuous
moments. However, when the moment order becomes large, discrete orthogonal moments …

Discrete orthogonal moments are powerful tools for characterizing image shape features for
applications in pattern recognition and image analysis. In this paper, a new set of discrete …

In this paper, we introduce a set of discrete orthogonal functions known as dual Hahn
polynomials. The Tchebichef and Krawtchouk polynomials are special cases of dual Hahn …

Discrete orthogonal moments such as Tchebichef moments and Krawtchouk moments are
more powerful in image representation than traditional continuous orthogonal moments …

In this paper, we present two new algorithms for the fast and stable computation of high-
order discrete orthogonal dual Hahn polynomials (DHPs). These algorithms are essentially …

Orthogonal polynomials and their moments have significant role in image processing and
computer vision field. One of the polynomials is discrete Hahn polynomials (DHaPs), which …

In this work, we propose a new algorithm for the computation of Tchebichef moments by
means of a recurrence relation with respect to order and the Gram–Schmidt process, which …

Geometric moment invariants are widely used in many fields of image analysis and pattern
recognition since their first introduction by Hu in 1962. A few years ago, Flusser has proved …