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《Journal of Huazhong University of Science and Technology(Nature Science Edition)》 2008-11
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A hybrid algorithm of fast computing Zernike moments

Fu BoQuan YiCheng Qiong(School of Electrical and Electric Engineering,Hubei University of Technology,Wuhan 430068,China)  
Zernike moments are useful tools in pattern recognition and image analysis due to their perfect feature capability and high noise resistance.However,direct computation of Zernike moments is very expensive,limiting their use as feature descriptors especially at high orders.In this paper,we propose a hybrid algorithm,which re-organize Zernike moments with any order and repetition as a linear combination of Fourier-Mellin moments,to calculate Zernike moments of high orders fast.Two properties,which are symmetry and the recursive relations of the coefficients of Zernike polynomials,are applied to the computation of Fourier-Mellin moments to reduce their computational cost.Experimental results reveal that the proposed method is more efficient than the other methods.
【Fund】: 国家自然科学基金资助项目(60702079);; 湖北省自然科学基金资助项目(2006ABA027)
【CateGory Index】: TP391.41
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【Citations】
Chinese Journal Full-text Database 2 Hits
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【Co-citations】
Chinese Journal Full-text Database 4 Hits
1 ZENG Wanmei,WU Qingxian,JIANG Changsheng (College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China);Recognition Method of Aerial Targets Based on Combined Invariant Moments[J];Electronics Optics & Control;2009-07
2 Zhao Chaojun,Wang Jingdong,Li Peng(College of Automation Engineering,Nanjing University of Aeronautics & Astronautics,Nanjing 210016,CHN);A Fast Algorithm for Object Matching Based on Combined-moment Invariant and Wavelet Transform[J];Optoelectronic Technology;2009-01
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Chinese Journal Full-text Database 8 Hits
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