Image Manipulation
2-dimensional iteration - image manipulation
RGB Color Model
The amount of each color, sometimes called the intensity of the color, allows us to have very fine control over the resulting color.
The minimum intensity value for a basic color is 0. For example if the red intensity is 0, then there is no red in the pixel. The maximum intensity is 255.
Color
Red
Green
Blue
Red
255
0
0
Green
0
255
0
Blue
0
0
255
White
255
255
255
Black
0
0
0
Yellow
255
255
0
Magenta
255
0
255
image
module has two classes: Image
and Pixel
.
There are methods to work with images pixel-per-pixel.
Method Name
Example
Explanation
Pixel(r,g,b)
Pixel(20,100,50)
Create a new pixel with 20 red, 100 green, and 50 blue.
getRed()
r = p.getRed()
Return the red component intensity.
getGreen()
r = p.getGreen()
Return the green component intensity.
getBlue()
r = p.getBlue()
Return the blue component intensity.
setRed()
p.setRed(100)
Set the red component intensity to 100.
setGreen()
p.setGreen(45)
Set the green component intensity to 45.
setBlue()
p.setBlue(156)
Set the blue component intensity to 156.
Methods to worth with image class:
Method Name
Example
Explanation
Image(filename)
img = image.Image(“cy.png”)
Create an Image object from the file cy.png.
EmptyImage()
img = image.EmptyImage(100,200)
Create an Image object that has all “White” pixels
getWidth()
w = img.getWidth()
Return the width of the image in pixels.
getHeight()
h = img.getHeight()
Return the height of the image in pixels.
getPixel(col,row)
p = img.getPixel(35,86)
Return the pixel at column 35, row 86.
setPixel(col,row,p)
img.setPixel(100,50,mp)
Set the pixel at column 100, row 50 to be mp.
nested iteration
Image processing refers to the ability to manipulate the individual pixels in a digital image. In order to process all of the pixels, we need to be able to systematically visit all of the rows and columns in the image. The best way to do this is to use nested iteration.
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