Quaternion polar harmonic Fourier moments for color images

Abstract This paper proposes quaternion polar harmonic Fourier moments (QPHFM) for color image processing and analyzes the properties of QPHFM. After extending Chebyshev–Fourier moments (CHFM) to quaternion Chebyshev-Fourier moments (QCHFM), comparison experiments, including image reconstruction and color image object recognition, on the performance of QPHFM and quaternion Zernike moments (QZM), quaternion pseudo-Zernike moments (QPZM), quaternion orthogonal Fourier-Mellin moments (QOFMM), QCHFM, and quaternion radial harmonic Fourier moments (QRHFM) are carried out. Experimental results show QPHFM can achieve an ideal performance in image reconstruction and invariant object recognition in noise-free and noisy conditions. In addition, this paper discusses the importance of phase information of quaternion orthogonal moments in image reconstruction.

[1]  Demetri Psaltis,et al.  Recognitive Aspects of Moment Invariants , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  M. Teague Image analysis via the general theory of moments , 1980 .

[3]  William Rowan Hamilton,et al.  Elements of Quaternions , 1969 .

[4]  Ming Zhu,et al.  Quaternion moment and its invariants for color object classification , 2014, Inf. Sci..

[5]  Gang Chen,et al.  Quaternion Zernike moments and their invariants for color image analysis and object recognition , 2012, Signal Process..

[6]  Chao Shao,et al.  Orthogonal moments based on exponent functions: Exponent-Fourier moments , 2014, Pattern Recognit..

[7]  Stephen J. Sangwine,et al.  Color image decomposition using quaternion singular value decomposition , 2003 .

[8]  D. A. Karras,et al.  Color image watermarking via Quaternion Radial Tchebichef Moments , 2013, 2013 IEEE International Conference on Imaging Systems and Techniques (IST).

[9]  Richard G. Baraniuk,et al.  Coherent Multiscale Image Processing Using Dual-Tree Quaternion Wavelets , 2008, IEEE Transactions on Image Processing.

[10]  Y. Sheng,et al.  Orthogonal Fourier–Mellin moments for invariant pattern recognition , 1994 .

[11]  Ming Zhu,et al.  Quaternion Fourier-Mellin moments for color images , 2011, Pattern Recognit..

[12]  Sameer A. Nene,et al.  Columbia Object Image Library (COIL100) , 1996 .

[13]  Jiasong Wu,et al.  Quaternion Bessel-Fourier moments and their invariant descriptors for object reconstruction and recognition , 2014, Pattern Recognit..

[14]  Ming-Kuei Hu,et al.  Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.

[15]  Ziliang Ping,et al.  Image description with Chebyshev-Fourier moments. , 2002, Journal of the Optical Society of America. A, Optics, image science, and vision.

[16]  J. F. Boyce,et al.  Moment invariants for pattern recognition , 1983, Pattern Recognit. Lett..

[17]  Sim Heng Ong,et al.  Image Analysis by Tchebichef Moments , 2001, IEEE Trans. Image Process..

[18]  Bin Xiao,et al.  Image analysis by Bessel-Fourier moments , 2010, Pattern Recognit..

[19]  Raveendran Paramesran,et al.  Image analysis by Krawtchouk moments , 2003, IEEE Trans. Image Process..

[20]  Wang Xing-yuan,et al.  Geometrically invariant image watermarking based on fast Radial Harmonic Fourier Moments , 2016 .

[21]  Chandan Singh,et al.  Error Analysis in the Computation of Orthogonal Rotation Invariant Moments , 2013, Journal of Mathematical Imaging and Vision.

[22]  Xudong Jiang,et al.  Two-Dimensional Polar Harmonic Transforms for Invariant Image Representation , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[23]  Xingyuan Wang,et al.  Geometrically invariant image watermarking based on fast Radial Harmonic Fourier Moments , 2016, Signal Process. Image Commun..

[24]  Wang Xiang-yang,et al.  Invariant quaternion radial harmonic Fourier moments for color image retrieval , 2015 .

[25]  S. Sangwine Fourier transforms of colour images using quaternion or hypercomplex, numbers , 1996 .

[26]  Chuan Zhang,et al.  Geometrically resilient color image zero-watermarking algorithm based on quaternion Exponent moments , 2016, J. Vis. Commun. Image Represent..

[27]  Huazhong Shu,et al.  Image analysis by discrete orthogonal dual Hahn moments , 2007, Pattern Recognit. Lett..

[28]  Ziliang Ping,et al.  Multidistortion-invariant image recognition with radial harmonic Fourier moments. , 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.

[29]  Yu Wu,et al.  FFT algorithm of complex exponent moments and its application in image recognition , 2014, Digital Image Processing.

[30]  C. Camacho-Bello,et al.  Color Image Reconstruction Using Quaternion Legendre-Fourier Moments in Polar Pixels , 2014, 2014 International Conference on Mechatronics, Electronics and Automotive Engineering.

[31]  Huazhong Shu,et al.  Image analysis by discrete orthogonal Racah moments , 2007, Signal Process..

[32]  Roland T. Chin,et al.  On image analysis by the methods of moments , 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.

[33]  Stephen J. Sangwine,et al.  Hypercomplex Fourier Transforms of Color Images , 2001, IEEE Transactions on Image Processing.

[34]  Guowei Yang,et al.  Denoising color images by reduced quaternion matrix singular value decomposition , 2015, Multidimens. Syst. Signal Process..

[35]  A.V. Oppenheim,et al.  The importance of phase in signals , 1980, Proceedings of the IEEE.

[36]  Xingyuan Wang,et al.  Geometric correction based color image watermarking using fuzzy least squares support vector machine and Bessel K form distribution , 2017, Signal Process..

[37]  Shan Gai,et al.  New banknote defect detection algorithm using quaternion wavelet transform , 2016, Neurocomputing.

[38]  Gang Chen,et al.  Color Image Analysis by Quaternion-Type Moments , 2014, Journal of Mathematical Imaging and Vision.

[39]  Xiangyang Wang,et al.  Quaternion polar complex exponential transform for invariant color image description , 2015, Appl. Math. Comput..