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Fourier-Mellin矩在图像识别中的应用
引用本文:马自萍.Fourier-Mellin矩在图像识别中的应用[J].电子设计工程,2011,19(24):14-16.
作者姓名:马自萍
作者单位:北方民族大学信息与计算科学学院,宁夏银川,750021
基金项目:国家自然科学基金,北方民族大学科学研究项目
摘    要:为了验证Fourier—Me|lin矩图像识别中的识别能力,本文研究了其在两种坐标下的计算和重建效果、抗噪性试验。在笛卡尔坐标下,图像重建直接计算,不必转换为极坐标,避免极坐标在了转换时产生的几何和计算误差,试验表明:笛卡尔坐标下,Fourier—Mellin矩的重建比极坐标下更精确,并且OFFM矩对噪声有很好的鲁棒性...

关 键 词:Fourier-Mellin矩  计算和重建  极坐标  笛卡尔坐标系

The application of Fourier-Mellin moment in image recognize
MA Zi-ping.The application of Fourier-Mellin moment in image recognize[J].Electronic Design Engineering,2011,19(24):14-16.
Authors:MA Zi-ping
Affiliation:MA Zi-ping(College of Information and Calculate Science,North University for Nationalities,Yinchuan 750021,China)
Abstract:In order to test the ability of Fourier-Mel.lin moment in image recognize, research work are done that two ways of computation and image reconstructed in a polar coordinate and in a Cartesian coordinate system, noise robustness are implemented in this paper. The Fourier-Mellin moment can be computed directly in a Cartesian coordinate, and this method completely removes both approximation and geometrical errors produced by the conventional methods. The experiments show that the reconstructed image by the Fourier-Mellin moment in a Cartesian coordinate is more accurate than that in a polar coordinate and the Fourier-Mellin moment has strong robustness for noise images.
Keywords:Fourier-Mellin moments  computation and reconstruction  polar coordinates  cartesian coordinate
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