Image representation is an important topic in computer vision and pattern recognition. It
plays a fundamental role in a range of applications toward understanding visual contents …

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 …

This paper extends the traditional discrete fractional Krawtchouk transform (DFrKT) with
quaternion theory to quaternion discrete fractional Krawtchouk transform (QDFrKT) for the …

This paper proposes a local descriptor called quaternionic local ranking binary pattern
(QLRBP) for color images. Different from traditional descriptors that are extracted from each …

In this paper, we propose a zero-watermarking scheme based on a new set of quaternion
moments called Quaternion Radial Fractional Charlier Moments (QRFrCMs) for the …

Adverse road condition is the main cause of traffic accidents. Road surface condition
recognition based on video image has become a central issue. However, hybrid road …

This paper presents an image retrieval framework that uses affine image moment invariants
as descriptors of local image areas. Detailed feature vectors are generated by feeding the …

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 …

Moments and moment invariants have been widely used as a basic feature descriptors in
image analysis, pattern recognition, and image retrieval. However, they are mainly used to …

This paper introduces a novel robust watermarking scheme for copyright protection of color
image based on quaternion-type moment invariants and visual cryptography. As a secure …