This paper proposes a new Fourier shape descriptor integrated with Principal Component Analysis (PCA) and the Farthest Point Distance (FPD).

提出一种将主成分分析(PCA)与最远点距离(FPD)相结合的二维形状傅里叶描述子。

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The edge Fourier transform is an important shape descriptor, but it makes use of only the image edge information ignoring the image region information.

基于边界的傅立叶变换是一种重要的形状描述方法，其只利用了图像的边界信息，而忽略了图像的区域信息。

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Fourier descriptor is an important method used in shape analysis and recognition.

傅立叶描述子是分析和识别物体形状的重要方法之一。

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Fourier descriptor is an important method used in shape analysis and recognition.

傅立叶描述子是分析和识别物体形状的重要方法之一。

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