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。
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。
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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