UNIT-1 : INTRODUCTION TO DIGITAL IMAGE PROCESSING

1.the amount of luminous flux falling on a given area of surface is called as ____________
(a)Aperture
(b)contrast
(c)brightness
(d)I luminance

2.Digitization of spatial co-ordinates (x,y)is called
(a)gray level quantization
(b)finite sampling
(c)image sampling
(d)image quantization

3.a 128X128 image with 64 gray levels requires ________bits of storage
(a)4096
(b)8192
(c)12288
(d)98304

4.a good image is difficulty to define because image quality
(a)high subjective ,weakly dependent
(b)lowly subjective, weakly dependent
(c)high subjective ,strongly dependent
(d)lowly subjective, strongly dependent

5.for coordinates p(2,3)the 4 neighbors of pixel p are
(a)(3,3)(2,3)(1,3)(1,3)
(b)(3,3)(2,3)(1,1)(2,2)
(c)(3,3)(2,4)(1,3)(2,2)
(d)(3,3)(2,4)(1,3)(2,1)

6.D distance is also called as
(a)city block distance
(b)chess board distance
(c)Euclidean distance
(d)mean distance

7.image transforms are needed for
(a)conversion information form spatial to frequency
(b)spatial domain
(c)time domain
(d)both b&c

8.image restoration is used to improve the ________image
(a)quantity
(b)quality
(c)blur
(d)none

9.the walsh and hadamard transforms are ___________in nature
(a)sinusoidal
(b)cosine
(c)non-sinusoidal
(d)cosine and sine

10.unsampling is a process of ____________the spatial resolution of the image
(a)decreasing
(b)increasing
(c)averaging
(d)doubling

UNIT-2 : INTENSITY TRANSFORMATIONS AND SPATIAL FILTERING

1. Which of the following make an image difficult to enhance?
a) Narrow range of intensity levels
b) Dynamic range of intensity levels
c) High noise
d) All of the mentioned

2. Which of the following is a second-order derivative operator?
a) Histogram
b) Laplacian
c) Gaussian
d) None of the mentioned

3. Response of the gradient to noise and fine detail is _____________ the Laplacian’s.
a) equal to
b) lower than
c) greater than
d) has no relation with

4. Dark characteristics in an image are better solved using ____________________.
a) Laplacian Transform
b) Gaussian Transform
c) Histogram Specification
d) Power-law Transformation

5. What is the smallest possible value of a gradient image?
a) e
b) 1
c) 0
d) -e

6. Which of the following fails to work on dark intensity distributions?
a) Laplacian Transform
b) Gaussian Transform
c) Histogram Equalization
d) Power-law Transformation

7. _________________________ is used to detect diseases such as bone infection and tumors.
a) MRI Scan
b) PET Scan
c) Nuclear Whole Body Scan
d) X-Ray

8. How do you bring out more of the skeletal detail from a Nuclear Whole Body Bone Scan?
a) Sharpening
b) Enhancing
c) Transformation
d) None of the mentioned

9. An alternate approach to median filtering is ______________
a) Use a mask
b) Gaussian filter
c) Sharpening
d) Laplacian filter

10. Final step of enhancement lies in ________________ of the sharpened image.
a) Increase range of contrast
b) Increase range of brightness
c) Increase dynamic range
d) None of the mentioned

UNIT-3 : FILTERING IN THE FREQUENCY DOMAIN

1.idel low pass filters has the transfer function is __________________

2.draw the mask for sobel or prewitt or roberts  operator_______________

3.what is the transfer function of Butterworth high pass filter_____________

4.draw the frequency response of high pass filter___________

5.band pass filter is a combination of high pass  &  low pass_ filters.

6.write the equation for 2-D Fourier transform____________________

7.write any one property of fourier transform______________

8.steps followed in homomorphic filtering

1._____    2._______   3._______    4.________    5._______

9.butterworth filter has ___________transition
a. smooth
b. sudden
c. paek
d. b&c

10.these are the noises that are not random ,but very systematic errors
a .artefacts noise
b. salt&pepper noise
c. Gaussian noise
d. white noise

UNIT-4 : IMAGE RESTORATION AND RECONSTRUCTION

1.image restoration is to improve the _______________of the image
a.quality
b.noise
c.intensity
d.colour

2.draw the degradation model of the image______________

3.write the inverse filtering formulation_________________

4.due to uniform linear motion image is_________________
a. blurred
b. sharpened
c. smoothened
d. a & c

5.write the inverse filter response formulation   Ans : g(x,y)=f(x,y)*h(x,y)+n(x,y)

6.write the geometric mean filter response_______________

7.write down the radon transform______________________

8.abrivate   "CT" scanner   ____________________________

9.Blur is characterized by the _______________ response of the system
a. filter
b. noise
c. impulse
d. image

10.Objective fidelity  is the image quality characterization using metrics such as errors and        SNR

11.subjective fidelity is an intuitive way of assessing image quality using the human visual system

UNIT-5 :COLOUR IMAGE PROCESSING

1.color is a ___________phenomenon
a. physiopsychological
b. visual
c. identification
d. none

2.human perception of colour closely resembles the ____________clour model
a. CMY
b. RGB
c. HSI
d. CMYK

3.____________is a mathematical model using which colours are represented ,created and visualized.
a. image
b. colour
c.colour space
d.none

4.the amount of white light present in a spectrum is called as ____________
a.intensity
b.saturation
c.hue
d.colour

5.a 24-bit colour image is called as ____________
a.binary image
b.RGB colour image
c.HSI colour model
d.true colour image

6.tonal image gives ____________
a. distribution of colour intensities
b. distribution of  intensities
c. distribution of gray level intensities
d. distribution of low intensities

7.colour depth is ____________
a.number of bits used to represent the colour
b.number of bits used to represent the image size
c. number of bits used to represent the hue
d. number of bits used to represent the saturation

8.to correct the intensity variations of phosphor dots ,_________ correction is used
a.linear
b.gamma
c.alpha
d.wavelength

9.acromatic image is nothing but____________
a.colour image
b.B&W image
c.HSI colour image
d.CMYK colour image

10.chromaticity diagram is useful for ___________
a.colour mixing
b.colour changing
c.colour painting
d.colour complement

UNIT- 6: WAVELETS AND MULTI RESOLUTION PROCESSING

UNIT-7 : MORPHOLOGICAL IMAGE PROCESSING

1.image morphology is an important tool in extraction of image _____________
a.features
b.colour
c.intensities
d.nature
2.the difference between the original image and the eroded is creates__________
a. higher level gray levels
b low lever gray level
c. boundary
d. unfilled regions

3.tap-hat transform is used for ____________
a. highlighting the bright peaks
b. highlighting the dark peaks
c. highlighting the bright and dark peaks
d. highlighting the dark and bright peaks

4.the theory of mathematical morphology is based on______________
a. image size
b. set theory
c. probability
d. correlation

5.well transform is used for ____________
a. highlighting the bright peaks
b. highlighting the dark peaks
c. highlighting the bright and dark peaks
d. highlighting the dark and bright peaks

6.thinning operation is used to remove the _________pixels
a.foreground
b.back ground
c.object
d.image

7.morphlogical gradient gives__________
a. transition from spatial to frequency
b. transition from dark to bright
c. transition from frequency to spatial
d.none

8.structering element is a _____________
a.mask
b.colour
c.background
d.pixel

9.____________is a process of removing of the extra tail pixels in an image
a.erosion
b.dilation
c.hit-miss transform
d.pruning

10.whatershed is process of _____________ the object
a.histogram
b.locating
c.transform
d.highliting

UNIT-8 :IMAGE SEGMENTATION

1.________________is process of partition the digital image in to multiple regions
a.merging
b.filling
c.splitting
d.transform

2.__________is set of connected pixel that lie on the boundary between two regions.
a.point
b.edge
c.colour
d.line

3.the objective of the sharpening filter is _________
a.highlight the intensity transitions
b. highlight the low transitions
c.highlight the bright transitions
d. highlight the colour transitions

4._____________has number of  peaks
a.bimodel histogram
b.multimodel histogram
c.histogram
d.image

5.____________is the starting pixel of region growing process.
a.seed pixel
b.base pixel
c.original pixel
d.image

6.___________is a deformable model that fits a model for segmenting ROI
a.tiger
b.snake
c.goat
d.image

7._______________is the position of sign change of the first derivative among neighboring points
a.edge
b.zero-crosing
c.point
d.line

8._________ has unimodel histogram
a.one pixel
b.one peak
c.one valley
d.one intensity level

9.abrivate ROI_______________
a.region of image
b.region of interest
c.region of indicator
d.restoration of image

10.the hough transform is used to fit points as _________________
a.line
b.edge
c.curve
d.ROI

Digital Image Processing Multiple choice Questions unit wise Reviewed by Suresh Bojja on 10/28/2015 07:43:00 AM Rating: 5

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