179 + Mcqs in Segmentation Page 1 McqOptions

1.	On which of the following operation of an image, the topology of the region changes?
A.	Stretching
B.	Rotation
C.	Folding
D.	Change in distance measure
Answer» D. Change in distance measure

Discussion

2.	First derivatives are zero at points on
A.	ramp
B.	step
C.	constant intensity
D.	edge
Answer» D. edge

Discussion

3.	Which of the following measures are not used to describe a region?
A.	Mean and median of grey values
B.	Minimum and maximum of grey values
C.	Number of pixels alone
D.	Number of pixels above and below mean
Answer» D. Number of pixels above and below mean

Discussion

4.	For which of the following regions, compactness is minimal?
A.	Rectangle
B.	Square
C.	Irregular
D.	Disk
Answer» E.

Discussion

5.	Canny edge detection algorithm is based on
A.	ideal model
B.	step edge
C.	real model
D.	smoothing model
Answer» C. real model

Discussion

6.	Lines not assumed as thin as referred to as
A.	edges
B.	thick lines
C.	region
D.	points
Answer» D. points

Discussion

7.	In laplacian images mid gray level is represented by
A.	0
B.	1
C.	positive
D.	negative
Answer» B. 1

Discussion

8.	First derivatives are positive at points on
A.	ramp
B.	step
C.	roof
D.	edges
Answer» B. step

Discussion

9.	The sum of LOG filter coefficients should be
A.	1
B.	0
C.	positive
D.	negative
Answer» C. positive

Discussion

10.	The resolution of the image (12x12) is
A.	12
B.	128
C.	144
D.	256
Answer» D. 256

Discussion

11.	The chain code for the following shape is given as:
A.	000030032232221211
B.	003010203310321032
C.	022332103210201330
D.	012302301023100321
Answer» B. 003010203310321032

Discussion

12.	Image segment methods are of
A.	2 types
B.	3 types
C.	4 types
D.	5 types
Answer» C. 4 types

Discussion

13.	We cannot use normalized area as one of the region descriptor.
A.	True
B.	False
C.	May be
D.	Can't Say
Answer» C. May be

Discussion

14.	Thresholding gradient image produces good
A.	discontinuity
B.	segmentation
C.	continuity
D.	edge detection
Answer» E.

Discussion

15.	What is the study of properties of a figure that are unaffected by any deformation?
A.	Topology
B.	Geography
C.	Statistics
D.	Deformation
Answer» B. Geography

Discussion

16.	First derivatives in image segmentation produces
A.	thick edges
B.	thin edges
C.	fine edges
D.	rough edges
Answer» B. thin edges

Discussion

17.	Segmentation is difficult for images that are
A.	trivial
B.	non trivial
C.	illuminated
D.	low resolution
Answer» C. illuminated

Discussion

18.	If all the regions are labeled with same intensity then it produces
A.	segmented effect
B.	regional effect
C.	unblocky effect
D.	blocky effect
Answer» E.

Discussion

19.	For finding vertical lines we use mask of values
A.	[-1 -1 -1; 2 2 2; -1 -1 -1]
B.	[2 -1 -1; -1 2 -1; -1 -1 2]
C.	[-1 2 -1; -1 2 -1; -1 2 -1]
D.	[-1 -1 2; -1 2 -1;2 -1 -1]
Answer» D. [-1 -1 2; -1 2 -1;2 -1 -1]

Discussion

20.	Edge pixels lie on darker or bright side of image can be determined by the
A.	sign of first derivative
B.	sign of second derivative
C.	sign of third derivative
D.	Both a and b
Answer» C. sign of third derivative

Discussion

21.	Mask's response to zero means
A.	sum to zero
B.	subtraction to zero
C.	division to zero
D.	multiplication to zero
Answer» B. subtraction to zero

Discussion

22.	Example of discontinuity approach in image segmentation is
A.	edge based segmentation
B.	boundary based segmentation
C.	region based segmentation
D.	Both a and b
Answer» E.

Discussion

23.	Sobel is better than prewitt in image
A.	sharpening
B.	blurring
C.	smoothing
D.	contrast
Answer» D. contrast

Discussion

24.	Second derivative approximation says that value at end of ramp must be
A.	nonzero
B.	zero
C.	positive
D.	negative
Answer» B. zero

Discussion

25.	Isolated point is also called
A.	edge point
B.	noise point
C.	ramp
D.	step
Answer» C. ramp

Discussion

26.	For line detection we assume that lines are
A.	thin
B.	thick
C.	sharp
D.	blur
Answer» B. thick

Discussion

27.	Two regions are said to be adjacent if their union forms
A.	connected set
B.	boundaries
C.	region
D.	image
Answer» B. boundaries

Discussion

28.	Second derivatives are zero at points on
A.	ramp
B.	step
C.	constant intensity
D.	edge
Answer» B. step

Discussion

29.	For diagonal edge detection we use
A.	1D mask
B.	2D mask
C.	3D mask
D.	4D mask
Answer» C. 3D mask

Discussion

30.	Point detection is done using filter that is
A.	Gaussian
B.	laplacian
C.	ideal
D.	butterworth
Answer» C. ideal

Discussion

31.	Edge detection has fundamental
A.	2 points
B.	3 points
C.	4 points
D.	5 points
Answer» C. 4 points

Discussion

32.	Double line effect is produced by
A.	first derivative
B.	second derivative
C.	third derivative
D.	Both a and b
Answer» C. third derivative

Discussion

33.	Summation square and square root are called
A.	logical operations
B.	arithmetic operation
C.	vector operations
D.	array operations
Answer» E.

Discussion

34.	Similarity approach of segmentation depends upon
A.	low frequencies
B.	smooth changes
C.	abrupt changes
D.	contrast
Answer» C. abrupt changes

Discussion

35.	Edge detector method is used to detect
A.	area
B.	line
C.	point
D.	edge
Answer» E.

Discussion

36.	When the desired object is detected segmentation should be
A.	paused
B.	cleared
C.	continued
D.	stopped
Answer» E.

Discussion

37.	Statistical moments are used to describe the shape of boundary segments quantitatively.
A.	True
B.	False
C.	May be
D.	Can't Say
Answer» B. False

Discussion

38.	What is the unit of compactness of a region?
A.	Meter
B.	Meter2
C.	No units
D.	Meter-1
Answer» D. Meter-1

Discussion

39.	For line detection we use
A.	first derivative
B.	second derivative
C.	third derivative
D.	Both a and b
Answer» C. third derivative

Discussion

40.	Sum of coefficients of derivative mask is
A.	0
B.	1
C.	positive
D.	negative
Answer» B. 1

Discussion

41.	What does the total number of pixels in the region defines?
A.	Perimeter
B.	Area
C.	Intensity
D.	Brightness
Answer» C. Intensity

Discussion

42.	Thresholding formulation measures difference between
A.	2 neighbors
B.	4 neighbors
C.	8 neighbors
D.	16 neighbors
Answer» D. 16 neighbors

Discussion

43.	One angle at which the lines in an image are not oriented is
A.	0
B.	30
C.	45
D.	90
Answer» D. 90

Discussion

44.	Examples of similarity approach in segmentation are
A.	region growing
B.	region splitting
C.	extraction
D.	Both a and b
Answer» E.

Discussion

45.	8bit image has intensity levels of
A.	0
B.	128
C.	255
D.	256
Answer» E.

Discussion

46.	Structural techniques deal with the arrangement of image primitives.
A.	True
B.	False
C.	May be
D.	Can't Say
Answer» B. False

Discussion

47.	A point ‘p’ is said to be corner point, if the change of slope is less than 10 degrees.
A.	True
B.	False
C.	May be
D.	Can't Say
Answer» C. May be

Discussion

48.	Edge detection is based on
A.	abrupt changes
B.	smooths changes
C.	thickness of edges
D.	thinness of edges
Answer» B. smooths changes

Discussion

49.	If the boundary is traversed in the clockwise direction, a vertex point ‘p’ is said to be a part of the convex segment if the rate of change of slope at ‘p’ is:
A.	Negative
B.	Zero
C.	Non negative
D.	Cannot be determined
Answer» D. Cannot be determined

Discussion

50.	Second derivatives have stronger response to
A.	noise
B.	thin lines
C.	edges
D.	Both a and b
Answer» E.

Discussion

Explore topic-wise MCQs in Microprocessors.

On which of the following operation of an image, the topology of the region changes?

First derivatives are zero at points on

Which of the following measures are not used to describe a region?

For which of the following regions, compactness is minimal?

Canny edge detection algorithm is based on

Lines not assumed as thin as referred to as

In laplacian images mid gray level is represented by

First derivatives are positive at points on

The sum of LOG filter coefficients should be

The resolution of the image (12x12) is

The chain code for the following shape is given as:

Image segment methods are of

We cannot use normalized area as one of the region descriptor.

Thresholding gradient image produces good

What is the study of properties of a figure that are unaffected by any deformation?

First derivatives in image segmentation produces

Segmentation is difficult for images that are

If all the regions are labeled with same intensity then it produces

For finding vertical lines we use mask of values

Edge pixels lie on darker or bright side of image can be determined by the

Mask's response to zero means

Example of discontinuity approach in image segmentation is

Sobel is better than prewitt in image

Second derivative approximation says that value at end of ramp must be

Isolated point is also called

For line detection we assume that lines are

Two regions are said to be adjacent if their union forms

Second derivatives are zero at points on

For diagonal edge detection we use

Point detection is done using filter that is

Edge detection has fundamental

Double line effect is produced by

Summation square and square root are called

Similarity approach of segmentation depends upon

Edge detector method is used to detect

When the desired object is detected segmentation should be

Statistical moments are used to describe the shape of boundary segments quantitatively.

What is the unit of compactness of a region?

For line detection we use

Sum of coefficients of derivative mask is

What does the total number of pixels in the region defines?

Thresholding formulation measures difference between

One angle at which the lines in an image are not oriented is

Examples of similarity approach in segmentation are

8bit image has intensity levels of

Structural techniques deal with the arrangement of image primitives.

A point ‘p’ is said to be corner point, if the change of slope is less than 10 degrees.

Edge detection is based on

If the boundary is traversed in the clockwise direction, a vertex point ‘p’ is said to be a part of the convex segment if the rate of change of slope at ‘p’ is:

Second derivatives have stronger response to