Image Processing Mid-Term for FCI 3rd level
1. Approaches to image processing that work directly on the pixels of incoming
image work in Spatial domain
2. What is called Digitizing the coordinate values of a continuous image?
Sampling
3. Correlation is the process of moving a filter mask over the image and
computing the sum of products at each location.
4. Which side of the greyscale is the components of the histogram concentrated
in a dark image? Low (there was a figure)
5. Which of the following is the application of Histogram Equalization?
Image enhancement
6. The response for linear spatial filtering is given by the relationship Sum of filter
coefficient’s product and corresponding image pixel under filter mask
7. Gamma Correction is a technique for employing the exponent gamma to
correct the response of A Power-law transformation.
8. Bit-plane slicing is known as the highlighting the contribution made to total
image by specific bits instead of highlighting intensity-level changes.
9. The histogram of a digital image with gray levels in the range [0, L-1] is
represented by a discrete function: h(r_k)=n_k
10. The sum of normalized histogram for all values of gray levels is always 1. True
11. Which of the following figures represent the histogram of low-contrast image?
B (there was a figure)
12. For a given 3-bit image has the representation, the computed values of
p_r(r_k) and s_k, respectively are 0.125,0.25,0.25,0.125,0.25 / 0,2,4,5,7 (there
was a figure)
13. The negative of an image with intensity levels in the range [0,L-1] is obtained
by using the negative transformation function, which has the form: S=L+1-r.
False
14. Spatial domain refers to image plane itself. True
15. Which of the following is the third fundamental step in image processing?
Image restoration
16. Segmentation is an example of high-Level image processing. False
17. The following matrix represents the pixels values of an 5-bit image (r) , apply
negative transform and the resulting image pixel values (s) as in the following
figure. False (there was a figure)
18. The locations of points (r1, s1) and (r2 , s2 ), If r1= s1, and r2 =s2, the
transformation is a linear function that produces changes in intensity. False
19. By using bit depth, k=3, the image can be represented by the range of pixels
between [0.......8]. False
20. Noise removal is an example of Low-level image processing. True
21. Histogram matching is a technique for adjusting image intensities to enhance
contrast. False
22. Histogram equalization is the method used to generate a processed image
that has a specified histogram. False
23. Contrast stretching expands the range of intensity levels in an image so that it
spans the ideal full intensity range of the recording medium or display device.
24. The subdivisions of the intensity scale are called histogram points True
25. The Identity function is the trivial case in which the input and output
intensities are identical.
