Introduction - If you have any usage issues, please Google them yourself
Fourier transform in the important role of image processing:
(A) image enhancement and image denoising
Most of all images of high frequency noise by low pass filter to filter out high frequency noise edge is the image of the high frequency components can be enhanced by adding high frequency components to the edge of the original image
(B) Image segmentation and edge detection
High frequency components extracted image
(C) image feature extraction
Shape features: Fourier descriptors
Texture: directly through the Fourier coefficients to calculate the texture features
Other features: The characteristic value extracted by Fourier transform to the characteristics of translation, scaling, rotation invariance
(D) image compression
Fourier coefficients can be directly compressed data commonly used discrete cosine transform is the Fourier transform of the real transformation
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