Computer Graphics & Digital Image Processing MCQS with AnswerS SET 13

1. What is the Condition for perfect transform?
a. Transpose of matrix = Inverse of a matrix
b. Transpose of matrix > Inverse of a matrix
c. Transpose of matrix < Inverse of a matrix
d. None of these

2. Which of these isn’t a application of transform?
a. To reduce band width
b. To reduce redundancy
c. To extract feature.
d. To increase band width

3. Zooming may be viewed as:
a. Over sampling
b. Restoration
c. Transformation
d. Enhancement

4. Zooming involves the creation of new ___________ locations
a. Image
b. Coordinates
c. Pixels
d. All of these

5 Resolution is defined as the _______ number of discernible detail in an image
a. Largest
b. Smallest
c. Both a and b
d. None of these
6.         The pixel P at co-ordinates (x, y) has 4 neighbors (ie) 2 horizontal and 2 vertical neighbors whose co-ordinates is given by?
a.        (x, y), (x+1,y), (x,y+1), (x+1, y+1).
b.      (x+1, y+1), (x-1,y-1), (x+1,y-1), (x-1, y+1).
c.       (x+1, y+1), (x-1,y-1), (x-1,y+1), (x+1, y-1).
d.      (x+1, y), (x-1,y), (x,y-1), (x, y+1).

7.         Find the number of bits to store a 128_128 image with 64 gray levels.
a. 98304 bytes
b. 98304 bits
c. 98655 bytes
d. 98306 bits

8.         …………………..refers to a scalar measure of intensity that ranges from black to graysand finally to white. Which term will come at the place of blank?
a.       Gray level
b.      Black level
c.       White level
d.      CMI level

9.         A digital image is composed of a finite number of elements each of which has a particular location or value. These elements are referred to as ?
a.       Coordinates
b.      Images pixels
c.       Finite margins
d.      None of these

10.     “Transpose of matrix = Inverse of a matrix” is the equation of?
a.       Clear transform
b.      Perfect transform
c.       Semi transform
d.      Full transform

11.     Luminance is measured in
a.       Watts
b. Lumens
c. Cant be measured
d. Joules

12.     Subdividing an image in to its constitute regions or objects:
a.    Segmentation
b. Restoration
c. Compression
d. Sampling

13. Types of Data compression :
A. Lossless compression
b. Lossy compression
c. Both of these
d. None of these

14. If the gray level of an image is coded in a way that uses more code words than necessary to represent each gray level, then the resulting image is said to contain:
a. Coding redundancy
b. Interpixel redundancy
c. Both of these
d. None of these

15. Device responsible for removing the coding and interpixel redundancy and psycho visual redundancy.
a. Mapper
b. Symbol encoder
c. Quantizer
d. Source encoder

16. Device which reduces the coding redundancy, used in the final stage of encoding process
a. Mapper
b. Symbol encoder
c. Quantizer
d. None of these

17. Device which reduces the psycho visual redundancy of the input images:
a. Mapper
b. Symbol encoder
c. Quantizer
d. None of these

18. Device used to transform the input data into non-visual format and also reduces the interpixel redundancy is called
a. Mapper
b. Symbol encoder
c. Quantizer
d. None of these

19. Where each source symbol is mapped into fixed sequence of code symbols or code words is called:
a. Instantaneous code
b. Arithmetic code
c. Block code
d. All of these


20. A code word that is not a prefix of any other code word is called
a. Instantaneous code
b. Arithmetic code
c. Block code
d. All of these


21. 50. Resolution is defined as the _______ number of discernible detail in an image
a. Largest
b. Smallest
c. Both a and b
d. None of these

22. Image will have high contrast, if the dynamic range is
a. Low
b. Low and high both
c. High
d. None of these

23.To be suitable for computer processing, an image function f(x,y) must be digitized in :
a. Spatially
b. Both spatially and in magnitude.
c. In magnitude
d. None of these
24.  The application of sharpening filters is:
a. Electronic printing and medical imaging to industrial application
b.  Autonomous target detection in smart weapons.
c. Both a and b
d. None of these
25. An image transform provides a set of _________ for vector space.
a. Coordinates
b. Basis vectors
c. Both a or b
d. Both a and b
26. Pseudocolor image processing consists of assigning _____________based on specified criterion
a. Color to gray values
b. Gray to color values
c. Both a and b
d. None of these
27. Approach for pattern recognition based on underlying statistical model of patterns and pattern classes is:
a. Statistical PR
b. Structural PR
c. Neural networks
d. All of these

28.  Approach for pattern recognition based on pattern classes represented by means of formal structures as grammars, automata, strings, etc. is:
a. Statistical PR
b. Structural PR
c. Neural networks
d. All of these
29.  Approach for pattern recognition based on classifier is represented as a network of cells modeling neurons of the human brain (connectionist approach) is:
a. Statistical PR
b. Structural PR
c. Neural networks
d. All of these
30. What are  the main motion related problems.
a. Motion detection
b. Moving object detection and location
c. Derivation of 3-D object properties
d. All of these
31
Combine higher spatial information in one band with higher spectral information in another dataset to create ‘synthetic’ higher resolution multispectral datasets and images is :
a. Image fission
b. Image Fusion
c. Image Enhancement
d. Zooming

32. Powerful shape description technique that may be used in locating new instances of such shapes in other images.
a. Point distribution model
b. Line distribution model
c. Image distribution model
d. None of these
33.  A difference image d(i,j) is a binary image where __________ values represent image areas with motion
a. Nonzero
b. Zero
c. Both a and b
d. None of these
34. Combine higher spatial information in one band with higher spectral information in another dataset to create ‘synthetic’ higher resolution multispectral datasets and images is :
a. Image fission
b. Image Fusion
c. Image Enhancement
d. Zooming

35.How a histogram can be normalized?
a.    By dividing each of its components by the total no. of pixels in the image.
b.   By numerous spatial domain processing.
c.    By concentrating on the low side of the intensity scale
d.   All of above

36.For a chain coded curve with unit spacing in both directions, the number of vertical and horizontal components plus square root of 2 times the number of diagonal components gives its exact?
a.    Width
b.   Parameter
c.    Length
d.   Area

37.The area of a region is defined as the number of…………………in the region. What will be the exact term in blank place?
a.    Coordinates
b.   Pixels
c.    Points
d.   None of these

38.Which measures cannot be included in region description?
a.    Mean and median of the intensity level
b.   The minimum and maximum intensity values
c.    The no. of pixels with values above and below the mean
d.   Tropological properties

39.A set P is said to be ……………….. if the straight line segment joining any two points in P lies within P. What will come in blank space?
a.    Convex
b.   Concave
c.    Convex or concave
d.   None of these

40.The…………………….. of objects or regions that have been segmented out of an image are early steps in the operation  of the most automated process involving images.
a.    Representation
b.   Description
c.    A and B both
d.   None of these

41.The term………………………… refers to the process of reducing the amount of data required to represent a given quantity of information. Fill in the blank.
a.    Data encryption
b.   Data compression
c.    Data Decryption
d.   None of these

42.In sub band coding, an image is decomposed into a set of band limited components called ?
a.    Sub width
b.   Sub components
c.    Sub bands
d.   None of these

43.Hue and saturation taken together are called?
a.    Color image processing
b.   Chromaticity
c.    Color models
d.   Intensity

44.Gray scale image smoothing can be viewed as a spatial filtering operations in which the coefficients of the filtering mask have the?
a.    Same value
b.   Different value
c.    Approximate value
d.   None of these

45.Periodic noise in an image arises typically from?
a.    Electrical interference during image acquisition
b.   Electronic interference during image acquisition
c.    A and B both
d.   None of these

46.Harmonic mean filter works with?
a.    Salt noise
b.   Pepper noise
c.    Gaussian noise
d.   All of above

47.A Notch filter………… frequencies in predefined neighbourhoods about a center frequence?
a.    Rejects
b.   Accepts
c.    Includes
d.   None of these

48.Wiener filtering is?
a.    Minimum mean square error filtering
b.   Maximum mean square error filtering
c.    Average mean square error filtering
d.   Median mean square error filtering

49.Which functions can be processed by a computer?
a.    Continuous
b.   Discrete
c.    Sequential
d.   None of these

50.Pixels are?   
a.    Digital numbers
b.   Analog series of points
c.    Series of images

d.   None of these

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