Note
For information about creating projection data from line integrals
along paths that radiate from a single source, called fan-beam projections,
see Fan-Beam Projection Data. To convert parallel-beam projection
data to fan-beam projection data, use the |
The radon
function computes projections of
an image matrix along specified directions.
A projection of a two-dimensional function f(x,y) is
a set of line integrals. The radon
function computes
the line integrals from multiple sources along parallel paths, or beams,
in a certain direction. The beams are spaced 1 pixel unit apart. To
represent an image, the radon
function takes multiple,
parallel-beam projections of the image from different angles by rotating
the source around the center of the image. The following figure shows
a single projection at a specified rotation angle.
Parallel-Beam Projection at Rotation Angle Theta
For example, the line integral of f(x,y) in the vertical direction is the projection of f(x,y) onto the x-axis; the line integral in the horizontaldirection is the projection of f(x,y) onto the y-axis. The following figure shows horizontal and vertical projections for a simple two-dimensional function.
Horizontal and Vertical Projections of a Simple Function
Projections can be computed along any angle theta (θ). In general, the Radon transform of f(x,y) is the line integral of f parallel to the y´-axis
$${R}_{\theta}\left(x\prime \right)={\displaystyle {\int}_{-\infty}^{\infty}f\left(x\prime \mathrm{cos}\theta -y\prime \mathrm{sin}\theta ,x\prime \mathrm{sin}\theta +y\prime \mathrm{cos}\theta \right)dy\prime}$$
where
$$\left[\begin{array}{c}x\prime \\ y\prime \end{array}\right]=\left[\begin{array}{cc}\text{}\mathrm{cos}\theta & \text{sin}\theta \\ -\mathrm{sin}\theta & \text{cos}\theta \end{array}\right]\left[\begin{array}{c}x\\ y\end{array}\right]$$
The following figure illustrates the geometry of the Radon transform.
Geometry of the Radon Transform
This example shows how to compute the Radon transform of an image, I
, for a specific set of angles, theta
, using the radon
function. The function returns, R
, in which the columns contain the Radon transform for each angle in theta
. The function also returns the vector, xp
, which contains the corresponding coordinates along the x-axis. The center pixel of I
is defined to be floor((size(I)+1)/2)
, which is the pixel on the x-axis corresponding to x' = 0.
Create a small sample image for this example that consists of a single square object and display it.
I = zeros(100,100); I(25:75,25:75) = 1; imshow(I)
Calculate the Radon transform of the image for the angles 0 degrees and 45 degrees.
[R,xp] = radon(I,[0 45]);
Plot the transform for 0 degrees.
figure
plot(xp,R(:,1));
title('Radon Transform of a Square Function at 0 degrees')
Plot the transform for 45 degrees.
figure
plot(xp,R(:,2));
title('Radon Transform of a Square Function at 45 degrees')
The Radon transform for a large number of angles is often displayed as an image. In this example, the Radon transform for the square image is computed at angles from 0° to 180°, in 1° increments.
theta = 0:180; [R,xp] = radon(I,theta); imagesc(theta,xp,R); title('R_{\theta} (X\prime)'); xlabel('\theta (degrees)'); ylabel('X\prime'); set(gca,'XTick',0:20:180); colormap(hot); colorbar
Radon Transform Using 180 Projections