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Statistical Features (Mean, Variance, Skewness) — MCQs | Digital Image Processing

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



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