Activity: More image manipulation 🎨

Complete the setup to install the cImage module and read some key differences based on the latest updates to the module.

Create a file called mouse.py and save it to your cs100/ch6 folder. Save the following images to the same location with the name: lutherbell.gif and mickey.jpg.

1. Copy the following code to your python file:

   from image import *
      
   # get image
   img = FileImage("lutherbell.gif")
   width = img.getWidth()
   height = img.getHeight()
      
   # create window
   myWin = ImageWin(width, height, "Awesome Image")
      
   # display image on window
   img.draw(myWin)
   
   # print out RGB values of pixel based on where mouse clicks
   x,y = myWin.getMouse()
   p = img.getPixel(x,y)
   print("Pixel values: ", p.getRed(), p.getGreen(), p.getBlue()) 
      
   # exit window when user clicks on any part of it
   myWin.exitOnClick()
   

2. Modify the script to display the Mickey Mouse picture.

3. Display Mickey with blue shoes instead of yellow ones. Hint: go through each pixel using two nested for loops, and compare how close it is to the color yellow. Click on a pixel to see what its RGB value is. Note that some yellows vary a bit in RGB values, so you’ll need to play with what it means for a pixel color to be ‘close enough’ to yellow. It will look like the following when this step is complete:

1. Modify the script to display Mickey with purple shorts instead of a red ones.

If you finish early

1. Write a function negative(p) that receives a pixel and returns its corresponding negative pixel. For example, given a pixel with old values R’, G’, and B’, the negated pixel will have values:
   • R = 255 - R’
   • G = 255 - G’
   • B = 255 - B’

Then use this function to create the negative picture of your Mickey Mouse. It will look like the following when this step is complete:

1. Using similar code as in the previous step, create a gray scale image of your Mickey Mouse. The greyscale pixel will use a value x as the red, green, and blue values, where x is an average of the original RGB values.

It will look like the following when this step is complete:

1. Work on your final project with your group.

How to submit

Submit your working mouse.py to Moodle AND INCLUDE THE IMAGE YOU USED.