1. Who is responsible for measuring the central tendency in a grayscale image?
(A) Variance
(B) Skewness
(C) Mean
(D) Kurtosis
2. Which feature quantifies the average brightness of an image?
(A) Mean
(B) Entropy
(C) Histogram Equalization
(D) Contrast
3. Which statistical measure indicates the spread or dispersion of pixel values in an image?
(A) Mean
(B) Mode
(C) Variance
(D) Median
4. What does a high variance in an image indicate?
(A) Low contrast
(B) Uniform intensity
(C) High contrast
(D) Blurred regions
5. What statistical measure helps in understanding the asymmetry of an image histogram?
(A) Mean
(B) Variance
(C) Standard Deviation
(D) Skewness
6. If an image has a positive skewness, how is its histogram shaped?
(A) Symmetric
(B) Skewed left
(C) Skewed right
(D) Flat
7. Which feature is best to analyze the brightness consistency across an image?
(A) Mean
(B) Histogram
(C) Variance
(D) Skewness
8. Which of the following is not a first-order statistical feature?
(A) Mean
(B) Variance
(C) Entropy
(D) GLCM
9. Which statistical feature is used to determine whether an image is biased toward darker or lighter pixels?
(A) Standard Deviation
(B) Variance
(C) Skewness
(D) Histogram Equalization
10. What does zero skewness represent in an image histogram?
(A) Histogram is flat
(B) Histogram is symmetric
(C) Histogram is left-skewed
(D) Histogram is right-skewed
11. What happens to the mean if all pixel values are increased by a constant value?
(A) Increases
(B) Decreases
(C) Becomes zero
(D) Remains unchanged
12. Which statistical measure is affected by outliers the most?
(A) Mean
(B) Median
(C) Mode
(D) Variance
13. Which of the following indicates uniform intensity in an image?
(A) Low Mean
(B) High Skewness
(C) Low Variance
(D) High Variance
14. In a perfectly symmetrical histogram, skewness is:
(A) Positive
(B) Negative
(C) Zero
(D) Undefined
15. What is the unit of measurement for mean in image processing?
(A) Bits
(B) Pixels
(C) Intensity level
(D) No units
16. Which statistical feature gives the average of the squared differences from the Mean?
(A) Variance
(B) Standard Deviation
(C) Skewness
(D) Median
17. What is the relation between standard deviation and variance?
(A) SD = Variance²
(B) SD = √Variance
(C) SD = 1/Variance
(D) SD = Variance
18. Which feature is most suitable for detecting brightness distortion in an image?
(A) Histogram
(B) Mean
(C) Skewness
(D) Variance
19. What is the range of pixel values used to calculate statistical features in an 8-bit image?
(A) 0–100
(B) 0–127
(C) 0–255
(D) 1–256
20. What does a negative skewness indicate in image intensity distribution?
(A) Symmetry
(B) Brighter tail
(C) Darker tail
(D) Flat distribution
21. Which of the following features is most sensitive to image contrast?
(A) Mean
(B) Median
(C) Variance
(D) Skewness
22. Which of the following is computed using all pixel values in an image?
(A) Entropy
(B) Variance
(C) LBP
(D) Gabor Filter
23. A high positive skewness in an image suggests:
(A) Image is too dark
(B) Image is too bright
(C) Image has balanced intensity
(D) Image is noisy
24. Which statistical feature can help in dynamic range compression?
(A) Mean
(B) Variance
(C) Histogram
(D) Skewness
25. What is the most basic statistical feature extracted from an image?
(A) Variance
(B) Skewness
(C) Mean
(D) Histogram
26. Skewness is computed using:
(A) Mean and Mode
(B) Mean and Median
(C) Moments
(D) Histogram Peaks
27. If an image has uniform gray levels, which feature will be minimum?
(A) Mean
(B) Skewness
(C) Variance
(D) Histogram
28. Which statistical feature is commonly used in image quality analysis?
(A) Variance
(B) GLCM
(C) Histogram
(D) Laplacian
29. Which statistical measure does not depend on the order of pixel values?
(A) Histogram
(B) Mean
(C) Skewness
(D) Variance
30. Which of the following features is essential in distinguishing between blurred and sharp images?
(A) Mean
(B) Variance
(C) Skewness
(D) Brightness
31. Skewness helps in understanding the:
(A) Intensity average
(B) Distribution symmetry
(C) Contrast enhancement
(D) Filter application
32. What is the effect of high variance in medical image analysis?
(A) Image becomes dull
(B) Features become more distinct
(C) Histogram becomes symmetric
(D) Noise reduces
33. Which statistical measure uses third-order central moments?
(A) Variance
(B) Mean
(C) Skewness
(D) Entropy
34. What does the standard deviation represent in image statistics?
(A) Average pixel value
(B) Spread around the mean
(C) Skew of the histogram
(D) Median value
35. Which feature is used to detect uneven lighting in an image?
(A) Mean
(B) Skewness
(C) Variance
(D) Entropy
36. A grayscale image has zero variance. What can be inferred?
(A) Image is overexposed
(B) Image has uniform intensity
(C) Image is noisy
(D) Image has high contrast
37. Which statistical feature is used to find average energy in a signal?
(A) Mean
(B) Variance
(C) Entropy
(D) RMS
38. What does a high mean value in an image usually indicate?
(A) Dark image
(B) Bright image
(C) Noisy image
(D) Uniform image
39. Which statistical measure reflects how much image intensity values deviate from the mean?
(A) Mode
(B) Median
(C) Skewness
(D) Variance
40. Which of the following features is not influenced by image histogram shape?
(A) Skewness
(B) Mean
(C) Variance
(D) Morphology
41. Which statistical property would change if brightness increases uniformly across an image?
(A) Variance
(B) Skewness
(C) Mean
(D) Texture
42. If skewness is negative, the histogram tail is towards:
(A) Right
(B) Left
(C) Center
(D) Top
43. Which statistical feature helps detect image illumination issues?
(A) Mean
(B) Variance
(C) Skewness
(D) Laplacian
44. Which of these is most useful in analyzing image brightness variation?
(A) Skewness
(B) Histogram
(C) Variance
(D) Entropy
45. Which statistical feature is not affected by uniform noise?
(A) Mean
(B) Variance
(C) Skewness
(D) Entropy
46. Which statistical metric helps in compressing image dynamic range?
(A) Mean
(B) Median
(C) Skewness
(D) Standard Deviation
47. In image processing, what is the key use of computing the mean?
(A) Identifying edges
(B) Detecting regions
(C) Measuring brightness
(D) Enhancing textures
48. If pixel values are symmetrically distributed, the skewness is:
(A) Positive
(B) Negative
(C) Zero
(D) Undefined
49. Which feature would most likely indicate if an image is overexposed?
(A) Mean
(B) Variance
(C) Skewness
(D) Contrast
50. Which statistical feature helps distinguish between light and dark areas in an image?
(A) Entropy
(B) Variance
(C) Mean
(D) Skewness
