Paper Info
Title
Multi-channel versus quaternion orthogonal rotation invariant moments for color image representation.
Abstract
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 to monochrome and gray-scale images. Recently, the theory of image moments for gray-scale images has been extended to color images using quaternion moments to explore the benefit of color information while representing the color images by moments. In this paper, we propose multi-channel ORIMs (MORIMs) invariants for color images and compare their performance with the existing quaternion moments, called quaternion orthogonal rotation invariant moments (QORIMs). The theoretical and experimental analysis demonstrates the superiority of the proposed MORIMs over the QORIMs invariants in the color image recognition task. The experiments are conducted by considering Zernike moments (ZMs) and quaternion ZMs (QZMs) as the representatives of MORIMs and QORIMs, respectively.
Year
DOI
Venue
2018
10.1016/j.dsp.2018.04.001
Digital Signal Processing
Keywords
Field
DocType
Multi-channel moments,Quaternion moments,Orthogonal moments,Rotation invariants,Scale invariants
Pattern recognition,Monochrome,Quaternion,Image processing,Multi channel,Zernike polynomials,Artificial intelligence,Invariant (mathematics),Image moment,Mathematics,Color image
Journal
Volume
ISSN
Citations 
78
1051-2004
4
PageRank 
References 
Authors
0.38
24
2
Name
Order
Citations
PageRank
C. Singh113112.63
Jaspreet Singh Suri233729.90