Description
Please see the attached file for details.. Report is required. The work should be solely yours and not plagerized from any source. No use of AI.
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Radon transform
1. Create an image of a grid with three lines in the horizontal direction, and three in
the vertical direction (white lines of value 255 on a black background with value
0). Add Gaussian noise to the image where = 200. The image should be very
noisy.
2. Take the Radon transform (radon.m) of the noisy image with a projection every 1
degree and display the result. Try to reconstruct the lines only by allowing only
the brightest pixels (or small areas) in the inverse Radon transform. Set the other
pixels to zero, and display the result.
Turn in:
• Description of what you did
• Noisy image
• Radon transform of noisy image
• Reconstructed result
• Matlab code
3. Obtain an image, preferably one with lines in it like a building or of a road, and
take its Radon transform. Similarly to part 1, identify points that represent the
dominate lines of the image. Reconstruct those lines and overlay them on the
original image and display the result.
Turn in:
• Description of what you did
• Image
• Radon transform of image
• Image with overlayed lines
• Matlab code
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