1. Signature descriptor of an unknown shape is given in the figure, can you identify the unknown shape?

• a. Circle
• b. Square
• c. Straight line
• d. Rectangle

Answer:- d. Rectangle

2. Signature descriptor of an unknown shape is given in the figure, If d (0) is measured in cm., what is the area of the unknown shape?

• a. 120 sq. cm.
• c. 240 sq. cm.
• d. 100 sq. cm.
• b. 144 sq. cm.

Answer:- c

3. To measure the Smoothness, coarseness and regularity of a region we use which of the transformation to extract feature?

• Gabor Transformation
• Wavelet Transformation
• Both Gabor, and Wavelet Transformation.
• None of the Above.

Answer:- Both Gabor, and Wavelet Transformation. 

4. Given the 5 x 5 image I (fig 1), we can compute the gray co-occurrence matrix C (fig 2) by specifying the displacement vector d = (dx, dy). Let the position operator be specified as (1, 1), which has the interpretation: one pixel to the right and one pixel below. (Both the image and the partial gray co-occurrence is given in the figure 1, and 2 respectively. Blank values and ‘x’ value in gray co-occurrence matrix are unknown.)

What is the value of ‘x’?

• a. 0
• b. 1
• c. 2
• d. 3

Answer:- a

5. Given the 5 x 5 image I (fig 1), we can compute the gray co-occurrence matrix by specifying the displacement vector d = (dx, dy). Let the position operator be specified as (1, 1), which has the interpretation: one pixel to the right and one pixel below. What is the value of maximum probability descriptor?

• a. 3/16
• b. 1/4
• c. 3/12
• d. 1/3

Answer:- b

6. Which of the following is a region descriptor?

• a. Polygonal Representation
• b. Fourier descriptor
• c. Signature
• d. Intensity histogram.

Answer:- d. Intensity histogram.

7. We use gray co-occurrence matrix to extract which type of information?

• a. Boundary
• b. Texture
• c. MFCC
• d. Zero Crossing rate.

Answer:- b. Texture

8. A single card is drawn from a standard deck of playing cards. What is the probability of that a heart is drawn or a 5? (Hints: A standard deck of 52 cards has 4 suits namely heart, spades, diamonds and clubs)

• a. 3/13
• b. 4/13
• c. 17/52
• d. 19/52

Answer:- b. 4/13

9. which of following is strictly true for a two-class problem Bayes minimum error classifier? (The two different classes are w1 and w2, and input feature vector is x)

• a. Choose w1 if P(x/wi) > P(x/w2)
• b. Choose w1 if P(w1)>P(w2)
• c. Choose w2 if P(w1/x)>P(w2/x)
• d. Choose w1 if P(w1/x)>P(w2/x)

Answer:- d

10. Consider two class Bayes’ Minimum Risk Classifier. Probability of classes W1 and W2 are, P (w1) =0.2 and P (w2) =0.8 respectively. P (x| w1) = 0.75, P (x| w2) = 0.5 and the loss matrix values are

Answer:- d