CUSTOMER_CODE
SMUDE
DIVISION_CODE
SMUDE
EVENT_CODE
SMUJAN15
ASSESSMENT_CODE MC0086_SMUJAN15
QUESTION_TYPE
DESCRIPTIVE_QUESTION
QUESTION_ID
6988
QUESTION_TEXT
Explain various components of human eye.
SCHEME OF
EVALUATION
i.The choroid coat is heavily Pigmented and hence helps to reduce
the amount of extraneeres light. (2.5 Marks)
ii.The lens is made uo of concentric layers of fibrous cells and is
suspended by fibers. (2.5 Marks)
iii.The retina (2.5 Marks)
iv.Rods and Cones (2.5 Marks)
QUESTION_TYPE
DESCRIPTIVE_QUESTION
QUESTION_ID
72521
QUESTION_TEXT
Explain the techniques of edge crispening.
SCHEME OF EVALUATION
1.
2.
Linear edge crispening
Statistical edge crispening
QUESTION_TYPE DESCRIPTIVE_QUESTION
QUESTION_ID
72525
QUESTION_TEXT Write a note on edge detection method and autocorrelation method.
SCHEME OF
EVALUATION
Edge Detection Methods
Rosenfeld and Troy have proposed a measure of the number of edges
in a neighborhood as a textural measure. As a first step in their
process, an edge map array E(j, k) is produced by some edge detector
such that E(j, k) = 1 for a detected edge and E(j, k) = 0 otherwise.
Usually, the detection threshold is set lower than the normal setting
for the isolation of boundary points. This texture measure is defined
as
Autocorrelation Methods
The autocorrelation function has been suggested as the basis of a
texture measure. Although it has been demonstrated in the
preceding section that it is possible to generate visually different
stochastic fields with the same autocorrelation function, this does
not necessarily rule out the utility of an autocorrelation feature set
for natural images.
QUESTION_TYPE
DESCRIPTIVE_QUESTION
QUESTION_ID
117765
QUESTION_TEXT
Write a note on Zooming and Shrinking digital images.
Zooming (5 marks)
SCHEME OF EVALUATION
Shrinking digital images (5 marks)
QUESTION_TYPE
DESCRIPTIVE_QUESTION
QUESTION_ID
117769
QUESTION_TEXT
Explain indirect estimation methods.
Gamma Estimation: video images are usually gamma corrected to
compensate for the nonlinearity of display devices, especially cathode
ray tube displays. Gamma correction is performed by raising the unit
range camera signal s to a power
G(s)=sᵧ
(3 marks)
The gamma estimation algorithm is as follows:
SCHEME OF
EVALUATION
1.
Perform inverse gamma correction to an image for a range of
suspected gamma values.
2.
Extract one dimensional signals x(n) from rows of the image
3.
Subdivide each x(n) into k
4.
Form the discrete Fourier transform y(u) of the kth segment
5.
Form the two-dimensional bicoherence function estimate
6.
Form the third- order correlation measure
7.
Determine the gamma value.
(7 marks)
QUESTION_TYPE
DESCRIPTIVE_QUESTION
QUESTION_ID
117772
QUESTION_TEXT
What is called as noise cleaning? Explain in detail the different
types of noise cleaning techniques used
SCHEME OF
An image may be subject to noise and interference from several
EVALUATION
sources, including electrical sensor noise, photographic grain noise
and channel errors…
Different types of noise cleaning:
Linear noise cleaning
Non linear noise cleaning