CSCE 5683 - Homework 5
Due Date - 11/19/2012 at 11:59 PM

1. Problem Statement:

The purpose of this assignment is to gain experience with color image processing and image manipulation in RGB and HSI color space. In particular, you will be comparing the performance of the vector median to the component median for removing noise from color images.

2. Design:

Write a function to calculate the vector median for each pixel in the color image using an NxN neighborhood. Remember, the vector median is defined to be the (r,g,b) pixel value withing the NxN window which has the smallest combined color distance to all other pixels in the neighborhood. You should use the Euclidean metric to calculate this color distance.

Once you have RGB vector median filtering working, write a second function to process HSI images. Use the im_color.RGBtoHSI() to convert the input image to HSI, then perform vector median, then use the im_color.HSItoRGB() methods to convert your smoothed image from HSI back to RGB to be saved.

Test your vector median filtering function in RGB space and HSI space using 3x3, 5x5 and 7x7 neighborhoods. Run the same experiments using the component median filtering using the command: "menu median #nxdim #nydim infile outfile". How do your processing times and results compare?

3. Implementation:

You can implement this program using either a bottom-up approach or a top-down approach. If you go for a bottom-up approach, start by creating basic methods and classes, and test theses methods using a simple main program that calls each method. When this is working, you can create the main program that uses these methods to solve the problem above.

If you go for a top-down approach, start by creating your main program that reads user input, and calls empty methods to pretend to solve the problem. Then add in the code for these methods one at a time. This way, you will get an idea of how the whole program will work before you dive into the details of implementing each method and class.

Regardless of which technique you choose to use, you should develop your code incrementally adding code, compiling, debugging, a little bit at a time. This way, you always have a program that "does something" even if it is not complete.

4. Testing:

Test your program to check that it operates correctly for all of the requirements listed above. Also check for the error handling capabilities of the code. Try your program on 2-3 input images, and save your testing output for submission on the program due date.

5. Documentation:

When you have completed your C++ program, write a short report (2-3 pages long) describing what the objectives were, what you did, and the status of the program. Include sample input/output images to illustrate how the code works. Does it work properly for all test cases? Are there any known problems? Save this report in a separate file to be submitted electronically.

6. Project Submission:

In this class, we will be using electronic project submission to make sure that all students hand their programming projects and labs on time, and to perform automatic analysis of all programs that are submitted. When you have completed the tasks above go to the class web site to "submit" your documentation, C++ program, and testing files.

The dates on your electronic submission will be used to verify that you met the due date above. All late projects will receive reduced credit (50% off if less than 24 hours late, no credit if more than 24 hours late), so hand in your best effort on the due date.

You should also PRINT a copy of these files and hand them into your instructor your next class. Include a title page which has your name and uaid, and attach your hand written design notes from above.