Image description with generalized pseudo-Zernike moments

被引：45
|
作者：
Xia, Ting
Zhu, Hongqing
Shu, Huazhong [1 ]
Haigron, Pascal
Luo, Limin
机构：
[1] SE Univ, Dept Comp Sci & Engn, Lab Image Sci & Technol, Nanjing 210096, Peoples R China
[2] Ctr Rech Informat Biomed Sino Francais, Nanjing 210096, Peoples R China
[3] Univ Rennes 1, Inst Natl Sante & Rech Med, U642, Lab Traitement Signal & Image, F-35042 Rennes, France
[4] Ctr Rech Informat Biomed Sino Francais, F-35042 Rennes, France
来源：
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION | 2007年 / 24卷 / 01期
关键词：
D O I：
10.1364/JOSAA.24.000050
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
A new set, to our knowledge, of orthogonal moment functions for describing images is proposed. It is based on the generalized pseudo-Zernike polynomials that are orthogonal on the unit circle. The generalized pseudo-Zernike polynomials are scaled to ensure numerical stability, and some properties are discussed. The performance of the proposed moments is analyzed in terms of image reconstruction capability and invariant character recognition accuracy. Experimental results demonstrate the superiority of generalized pseudo-Zernike moments compared with pseudo-Zernike and Chebyshev-Fourier moments in both noise-free and noisy conditions. (c) 2006 Optical Society of America.
引用
收藏
页码：50 / 59
页数：10
相关论文
共 50 条
  • [1] Comparative Results of Zernike Moments and Pseudo-Zernike Moments
    Kumar, Satish
    [J]. PROCEEDINGS OF THE 10TH INDIACOM - 2016 3RD INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT, 2016, : 1254 - 1259
  • [2] Exploring Pseudo-Zernike Moments for Effective Image Forgery Detection
    Patel, Niyati
    Patel, Premal J.
    [J]. 2024 4TH INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND SOCIAL NETWORKING, ICPCSN 2024, 2024, : 351 - 355
  • [3] The scale invariants of pseudo-Zernike moments
    Chong, CW
    Raveendran, P
    Mukundan, R
    [J]. PATTERN ANALYSIS AND APPLICATIONS, 2003, 6 (03) : 176 - 184
  • [4] The scale invariants of pseudo-Zernike moments
    C.-W. Chong
    P. Raveendran
    R. Mukundan
    [J]. Pattern Analysis & Applications, 2003, 6 : 176 - 184
  • [5] ACCURATE COMPUTATION OF PSEUDO-ZERNIKE MOMENTS
    Bo, Li
    [J]. 2015 12TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP), 2015, : 220 - 223
  • [6] Image adaptive RST invariant watermark based on pseudo-Zernike moments
    Li, Lei-Da
    Guo, Bao-Long
    [J]. Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2007, 34 (01): : 38 - 42
  • [7] A new robust digital image watermarking based on Pseudo-Zernike moments
    Wang, Xiang-Yang
    Hou, Li-Min
    [J]. MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, 2010, 21 (02) : 179 - 196
  • [8] Image registration using feature points extraction and pseudo-Zernike moments
    Yang zhan-long
    Guo bao-long
    [J]. 2008 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, PROCEEDINGS, 2008, : 752 - 755
  • [9] Pseudo-Zernike Moments Based Sparse Representations for SAR Image Classification
    Gishkori, Shahzad
    Mulgrew, Bernard
    [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2019, 55 (02) : 1037 - 1044
  • [10] A new robust digital image watermarking based on Pseudo-Zernike moments
    Xiang-Yang Wang
    Li-Min Hou
    [J]. Multidimensional Systems and Signal Processing, 2010, 21 : 179 - 196
12345