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/ METHOD AND APPARATUS FOR REPRESENTING AND RETRIEVING 3D IMAGE DATA USING 3D ZERNIKE MOMENTS AND FREQUENCY PLANE DIVIDED FEATURES

机译:/使用3D Zernike矩和频率平面划分特征表示和检索3D图像数据的方法和装置

摘要

PURPOSE: An apparatus and a method for extracting image feature and an apparatus and method for searching image are provided to extract image feature irrelevant to movement, scale and rotation of an image, and search images fast. CONSTITUTION: Image feature is extracted by extracting a zenike feature value from an input image(S1), extracting a frequency plane division feature value from the image(S2), and extracting n-th order statistical feature value from the image(S3). The zenike feature value is extracted by performing DFT(discrete Fourier transformation) on the input image, normalizing the DFT value, and obtaining a zenike moment absolute value. The frequency plane division feature value is extracted by Gabor filters, Radon transformation or wavelet transformation. The n-th order statistical feature value is a first order moment such as a mean, an L1 norm and a variance of energy, or a second order moment such as energy.
机译:目的:提供一种用于提取图像特征的设备和方法以及用于搜索图像的设备和方法,以提取与图像的运动,缩放和旋转无关的图像特征,并快速地搜索图像。组成:图像特征是通过从输入图像中提取齐尼克特征值(S1),从图像中提取频率平面分割特征值(S2),并从图像中提取n阶统计特征值(S3)来提取的。通过对输入图像执行DFT(离散傅里叶变换),归一化DFT值并获得zenike矩绝对值,来提取zenike特征值。频率平面划分特征值通过Gabor滤波器,Radon变换或小波变换提取。第n阶统计特征值是诸如均值,L1范数和能量方差的一阶矩或诸如能量的二阶矩。

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