IMAGE PROCESSING Assignment 3

CAP 4401 - IMAGE PROCESSING
Assignment 3
The purpose of this homework is to experiment with basic edge detection
Your program should be able to do the following:
• Edge Detection [6 points]
o Add edge detection for grey level images to your choice of options. Use Prewitt operator (3x3) to
compute dx and dy, compute gradient amplitude, compute edge direction
o Your program should be able to threshold gradient amplitude given some threshold.
o Your program should
 operate within specified ROIs (up to three ROIs)
 generate display of the amplitude of the gradient operator as intensity image
 generate binary edge image derived from amplitude of the gradient operator by thresholding
 generate binary edge image by further thresholding the above output using direction information
(e.g. display only horizontal (+/- 10 degree) edges or 45 degree +/- 10 degree edges etc.)
o Test your program on some grey level images
o [Extra credit - 1 Point] Implement Prewitt (5x5) operator for directional derivatives computations, then
compute edge amplitude and direction as before, compare results with Prewitt(3x3) mask
• Color processing [4 points]
o Apply the edge detection to R,G,B components independently, then combine all three sets of edges into
one image, experiment and discuss results
o Add color edge detection by applying edge detector to the I-component (using RGB < HSI conversion),
display amplitude and thresholded magnitude (binarized) results.
o Compare utilization of RGB vs HSI for color edge detection
o [Extra credit - 1 point] Add color-edge detection by applying Prewitt edge detection to H and S
component, display amplitude and thresholded magnitude (binarized) results.
Note one Prewit 5x5 mask (Dx), Dy is the transpose
-2 -1 0 1 2
-2 -1 0 1 2
-2 -1 0 1 2
-2 -1 0 1 2
-2 -1 0 1 2
Write a report for this assignment
• Include input and output images (use several gray level and several color images as appropriate).
• Discuss performance of grey level edge detectors on images
• Discuss performance of your edge detector on color images. Discuss performance in RGB and HSI domains.
Support your conclusions by examples.
• Make sure that you have extensive report for this assignment (not just few comments).
How to submit
• Submit paper report in class on the due date
• See TA help desk for instruction on program submission and testing.