Summary: Computer Organization And Embedded Systems | 9780077418809 | Carl Hamacher, et al
- This + 400k other summaries
- A unique study and practice tool
- Never study anything twice again
- Get the grades you hope for
- 100% sure, 100% understanding
Read the summary and the most important questions on Computer Organization and Embedded Systems | 9780077418809 | Carl Hamacher; Zvonko Vranesic; Safwat Zaky; Naraig Manjikian
-
9 image processing
This is a preview. There are 45 more flashcards available for chapter 9
Show more cards here -
What is an arithmetic operation on an image?
It can be a simple addition to each pixels, like a constant value with the effect of making it darker/brighter. -
What is an Image histogram?
plot that shows how many times a pixel value is repeated in an image. -
What is poor contrast in an image?
When the interval of the image is smaller than the interval [0,255], difficult to distinguish between dark and light. -
How can you improve the contrast?
By point operation, histogram stretching, or called normalization or equalization. -
How does a histogram stretching work?
It stretches the range of intensity values to the desired range interval [0,255]. -
How do you calculate the new intensity value of each pixel in the new image(g)?
g(x,y) = (255/ (f2-f1)) * (f(x,y) -f1)
f1 is left most nonzero bin in histogram
f2 is right most nonzero bin -
What is Thresholding operation?
point processing turning grayscale image to a binary image(black and white). -
How does Thresholding work?
by Choosing a gray level T in the original image and turning every pixel black if the value is less than T or white if the value if greater than T. -
How can thresholding help with segmentation?
By choosing a Threshold level between two peaks, we can succesfully seperate the foreground objects from the background. -
When does Segmentation with Thresholding give good results?
If the histogram has two dominant peaks, where one represents the background pixels and the other the foreground.
- Higher grades + faster learning
- Never study anything twice
- 100% sure, 100% understanding