CS 4495/7495: Computer Vision

On both of these images you will find the coins in the image.

1. Use your favorite edge detector (for example, one of the ones supported by the Matlab "edge" command) and a Hough transform for finding circles to find the coins. This should be the "easy" image.

   

Click Right Mouse button (and choose Save As)to download in TIFF or in JPEG,

2. Now try it on this image.

   

Click Right Mouse button (and choose Save As) to download in TIFF or in JPEG 
 

3. Finally, add Gaussian noise to the last image. How much noise can you add until it breaks?

What to hand in:

You will submit your work electronically (no paper). Instead, you will submit an HTML file. Create your own web page in the spirit of the template provided for PS2. The format of the page is up to you. Feel free to add as many result images, intermediate results images, and result images for different values of the control parameters as you think is necessary to demonstrate your work. However, the page should contain at least the following:

1. your name on top of the page,
2. links to ALL of your matlab code,
3. links to your result images converted to JPG format.

Your matlab code should be reasonably commented if you want us to understand it and give you credit/comments. Also include test scripts for each of the three problems: test_1.m, test_2.m and test_3.m. These files should demonstrate your work for part 1, 2, and 3 of this problem set, respectively. The scripts should:

1. load your test images,
2. call your other matlab functions that do the required image processing,
3. show all results on the screen using multiple figures, and
4. for your final result images color the pixels of the detected objects in some distinct color so we know that your code is indeed detecting the objects.
5. save all result images in JPG format with appropriate names
that can be loaded from the web page.

To submit your work do the following:

1. On a UNIX platform create a directory named after your CoC login_name
2. Put ALL your matlab files, the three test scripts, the original images, and all result images in that directory.
3. Also put a README file that explains any special needs of your code, and lists any KNOWN BUGS/FEATURES.
   For example if your code is running very slow try to explain why. If something is not working explain why.
4. Create an HTML page according to the instructions given above. Save it as index.html in the same directory.
5. CD to the parent directory.
6. Create a tar archive using:
   
   tar cvf login_name.tar login_name
7. Gzip the tar file using:
   
   gzip login_name.tar
8. E-mail the login_name.tar.gz file to cs7495@cc.gatech.edu