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Image Transforms

Perform Fourier, Discrete Cosine, Radon, and Fan-beam transforms


bwdist Distance transform of binary image
bwdistgeodesic Geodesic distance transform of binary image
graydist Gray-weighted distance transform of grayscale image
hough Hough transform
dct2 2-D discrete cosine transform
dctmtx Discrete cosine transform matrix
fan2para Convert fan-beam projections to parallel-beam
fanbeam Fan-beam transform
idct2 2-D inverse discrete cosine transform
ifanbeam Inverse fan-beam transform
iradon Inverse Radon transform
para2fan Convert parallel-beam projections to fan-beam
radon Radon transform
fft2 2-D fast Fourier transform
fftshift Shift zero-frequency component to center of spectrum
ifft2 2-D inverse fast Fourier transform
ifftshift Inverse zero-frequency shift


Fourier Transform

Learn about the Fourier transform and some of its applications in image processing.

Discrete Cosine Transform

Learn about the discrete cosine transform (DCT) of an image and its applications, particularly in image compression.

Radon Transform

The radon transform computes parallel-beam projections of an image matrix at different projection angles.

The Inverse Radon Transformation

The inverse Radon transform reconstructs an image from a set of parallel-beam projection data across many projection angles.

Detect Lines Using the Radon Transform

This example shows how to detect lines in an image using the radon function.

Fan-Beam Projection Data

A fan-beam projection consists of projections of an image matrix along paths that radiate from a single source.

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