computer science mcqs

a.       dynamic range of an image

b.      static range of an image

c.       dynamic and static range of an image

d.      anything is possible

2.       Two objects with different surroundings would have identical ……………………but different brightness. What is the appropriate answer in blank space?

a.       Luminance

b.      Hue

c.       Intensity

d.      Saturation

3.       Which is not a hardware oriented color model?

a.       RGB model

b.      CMY model

c.       CMYK model

d.      HSG model

4.       What is hue?

a.       Hue gives a measure of the degree to which a pure color is diluted by white light.

b.      Hue refers to a scalar measure of intensity

c.       Hue is a color attribute that describes a pure color

d.      Hue means the intensity of the stripes is constant.

5.       What are the types of light receptors?

a.       Hue and Saturation

b.      Color models

c.       Cones and Rod

d.      None of these

6.       The intensity of the stripes is constant is known as?

a.       Twiddle Effect

b.      Machband effect

c.       Image Averaging

d.      None of these

7.       Illumination is the amount of source light incident on the scene. It is represented as

a.       I(x+1,y+1)

b.      i(x,y)

c.       l(x-1,y-1)

d.      I(x-1,y-1)

8.       Reflectance is the amount of light ………….. by the object in the scene. It is represented by r(x, y). What will the exact word in blank space?

a.       penetrated

b.      Absorbed

c.       Inversed

d.      Reflected

9.       ……………………… means digitizing the co-ordinate value (x, y). What will the exact word in blank space?

a.       Hue

b.      Saturation

c.       Sampling

d.      Quantization

10.   ………………………..means digitizing the amplitude value. What will the exact word in blank space?

a.       Hue

b.      Quantization

c.       Sampling

d.      saturation

11.   Find the number of bits required to store a 256 X 256 image with 32 gray level?

a.       5 bits

b.      256 bits

c.       1024 bits

d.      327680 bits.

12.   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).

13.   What are the types of connectivity?

a.       4 connectivity

b.      8 connectivity

c.       M connectivity (mixed connectivity)

d.      All of above

14.   The basic geometric transformations are?

a.       Image translation

b.      Scaling

c.       Image rotation

d.      All of above

15.   ……………………. means reposition the image from one co-ordinate location to another along straight line path. What will be the exact word in blank space?

a.       Scaling

b.      Image translation

c.       Image rotation

a.       Scaling

b.      Image translation

c.       Image rotation

d.      Quantization

17.   …………………….is the process of moving the filter mask from point to point in an image?

a.       Frequency domain filtering. What will be the exact word in blank space?

b.      Spatial filtering

c.       Sampling

d.      Masking

18.   ……………………………. replaces the value of a pixel by the median of the gray levels in the neighborhood of that pixel. What will be the exact word in blank space?

a.       Median filter

b.      Gray filter

c.       Neighborhood filter

d.      Masking filter

19.   The 100th percentile is maximum filter and it is used in finding?

a.       Blank part of an image

b.      Gray point of an image

c.       Darkest point of an image

d.      Brightest point of an image

20.   The 0th percentile is minimum filter and it is used in finding?

a.       Blank part of an image

b.      Gray point of an image

c.       Darkest point of an image

d.      Brightest point of an image

21.   What is the application of sharpening filters?

a.       Electronic printing

b.      Autonomous target detection in smart weapons

c.       medical imaging to industrial application

d.       All of above

22.   An image can be expanded in terms of a discrete set of basis arrays called ……………………

a.       Basis images.

b.      Discrete images

c.       Expanded images

d.      Bright images

23.   Which is not a property of fourier transform?

a.       Separability

b.      Translation

c.       Periodicity and conjugate symmetry

a.       The DFT and unitary DFT matrices are symmetric.

b.      The extensions of the DFT and unitary DFT of a sequence and their inverse transforms are periodic with period N.

c.       The DFT or unitary DFT of a real sequence is conjugate symmetric about N/2.

d.      All of above

25.   Which approach is based on underlying statistical model of patterns and pattern classes in pattern recognition?

a.       Statistical PR

b.      Neural networks

c.       Structural or syntactic PR

d.      None of these

26.   Which approach is based on pattern classes represented by means of formal structures as grammars, automata, strings, etc. in pattern recognition?

a.       Statistical PR

b.      Neural networks

c.       Structural or syntactic PR

d.      None of these

27.   Which approach is based on classifier is represented as a network of cells modeling neurons of the human brain (connectionist approach) in pattern recognition?

a.       Statistical PR

b.      Neural networks

c.       Structural or syntactic PR

d.      None of these

28.   What are the components of pattern recognition System?

a.       Sensors and preprocessing

b.      feature extraction

c.       A learning algorithm setting PR from training examples.

d.      All of above

29.   A classifier is typically represented as a set of?

a.       Continuous functions

b.      discriminant functions

c.       Regular functions

d.      Analog functions

30.   Some of the motion related problems are

a.       Motion detection

b.      Moving object detection and location

c.        Derivation of 3-D object properties

a.       supervised classification

b.      Unsupervised classification

c.       Image understanding control strategies

d.      Non-Hierarchical control

32.   …………………………… is a method which examines a large number of unknown pixels and divides into a number of classed based on natural groupings present in the image values. What will be the exact word in blank space?

a.       supervised classification

b.      Unsupervised classification

c.       Image understanding control strategies

d.      Non-Hierarchical control

33.   The ……………………….is a powerful shape description technique that may be used in locating new instances of such shapes in other images.

a.       point distribution model

b.      Combined control model

c.       Hierarchical control model

d.      Parallel and processing control model

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 known as?

a.       Image fiction

b.      Image fusion

c.       Image classification

d.      Point distribution

35.   A/An ……………………….is compressed independently of all frames. It resembles a JPEG encoded image. It is the reference point for the motion estimation needed to generate subsequent P and P-frame. What will be the exact term in blank space?

a.       I-frame

b.      P-frame

c.       B-frame

d.      R- frame

36.   ……………………..is the compressed difference between the current frame and a prediction of it based on the previous I or P-frame. What will be the exact term in blank space?

a.       I-frame

b.      P-frame

c.       B-frame

a.       I-frame

b.      P-frame

c.       B-frame

d.      R- frame

38.   What is MPEG?

a.       Mega picture expanding group

b.      Moving Picture Expert Group

c.       Moving picture expanding group

d.      Moving processing expert group

39.   What is JPEG?

a.       join picture expanding group

b.      Joint Picture Expert Group

c.       joint picture expanding group

d.      Joint Photographic Expert Group

40.   How effectiveness of quantization can be improved?

a.       Introducing a small quantization interval around 100000 pixels,

b.      Adapting the size of the quantization intervals from scale to scale

c.       Making an independent coding system for reversible compression

d.      All of above

41.   What are the coding systems in JPEG?

a.       A lossy baseline coding system, which is based on the DCT and is adequate for most compression application.

b.      An extended coding system for greater compression, higher precision or progressive reconstruction applications.

c.       A lossless independent coding system for reversible compression.

d.      All of above

42.   An effective technique for reducing an image’s inter pixel redundancies is to process the image’s bit plane individually is known as?

a.       Inter image processing

b.      bit plane Decomposition

c.       B- frame composition

d.      arithmetic coding

43.   A code word that is not a prefix of any other code word is called?

a.       Instantaneous or prefix codeword.

b.      Postfix codeword

c.       Inbuilt codeword

d.      None of these

44.   …………………………….Coding is the simplest approach to error free compression. It reduces only the coding redundancy. It assigns the shortest possible codeword to the most probable gray levels. What will be the exact term in blank space?

a.       Postfix coding

b.      Postfix coding

c.       Variable Length Coding

d.      None of these

45.   Define compression ratio?

a.       Compression Ratio = original size / compressed size: 1

b.      Compression Ratio = compressed size / original size: 1

c.       Compression Ratio = duplicate size / compressed size :1

d.      Compression Ratio = compressed size / duplicate size :1

46.   What are different Compression Methods?

a.       Run Length Encoding (RLE)

b.      Arithmetic coding

c.       Huffman coding

d.      All of above

47.   What is the need for Compression?

a.       In terms of storage, the capacity of a storage device can be effectively increased with methods that compress a body of data on its way to a storage device and decompresses it when it is retrieved.

b.      In terms of communications, the bandwidth of a digital communication link can be effectively increased by compressing data at the sending end and decompressing data at the receiving end.

c.       At any given time, the ability of the Internet to transfer data is fixed. Thus, if data can effectively be compressed wherever possible, significant improvements of data throughput can be achieved. Many files can be combined into one compressed document making sending easier.

d.      All of above

48.   Data compression requires?

a.        The identification of source redundancy.

b.      seeks to reduce the number of bits used to store or transmit information

c.       extraction of source redundancy

d.      All of these

49.   Specify the steps involved in splitting and merging?

a.       Split into 4 disjoint quadrants any region Ri for which P(Ri)=FALSE.

b.      Merge any adjacent regions Rj and Rk for which P(RjURk)=TRUE.

c.       Stop when no further merging or splitting is positive.

d.      All of above

50.   …………………………….subdivides on image in to it’s constitute regions or objects. The level to which the sub divides is carried depends on the problem being solved.

a.       Fragmentation

b.      Segmentation

c.       Gradient Operator

a.       Linear

b.      Logarithmic

c.       Power law

d.      All of above

52.   Techniques are based on direct manipulation of pixels of an image in?

a.       Spatial domain

b.      Frequency domain

c.       Decomposition

d.      Composition

53.   Techniques are based on modifying the fourier transform an image in?

a.       Spatial domain

b.      Frequency domain

c.       Decomposition

d.      Composition

55.   Image processing is any form of signal processing for which the input is a/an

a.       Image

b.      Sound

c.       video

d.      All of above

56.   Intensity range of 8 pixel  image

a.       0 to 7

b.      0 to 25

c.       0 to 255

57.   A normal greyscale image has 8 bit colour depth , i.e. equal to how many grayscales?

a.       256

b.      654

c.       236

a.       16 million colors

b.      60 million colors

c.       256 colors

59.   A Color model is a specification of how many coordinates system?

60.   Color model is a subspace within the system where each color is represented by?