Digital Image Processing MCQ with answers
In this Quiz, we will be discussing some of the most commonly asked digital image processing MCQs. These questions will help you understand the concepts behind the various algorithms and how they work. The answers to these questions can be found by clicking on the Show Answer tab.
Digital Image Processing MCQ multiple choice questions with answers for IT Students of Academic and Competitive exam preparation.
Brief Introduction to Digital Image Processing
Digital image processing deals with the manipulation of digital images. This can include tasks like enhancement, restoration, noise reduction, and color correction. There are a variety of software applications available that can be used for these tasks, but often the best results can be obtained using specialized hardware.
The term digital image processing refers to the various methods used to manipulate digital images. These methods can be used for a variety of purposes, such as correcting errors, enhancing pictures, and creating new images. Digital image processing is a relatively new field, but it is growing rapidly thanks to the increasing use of digital cameras and photo editing software.
Top 44 Digital Image processing MCQ with Answer
1. ___ is the term most widely used to denote the elements of a digital image.
Answer: Pixel
2. The principal energy source for images in use today is ___.
Answer: electromagnetic energy spectrum
3. ___ is an area that also deals with improving the appearance of an image.
Answer: Image restoration
4. Knowledge about a problem domain is coded into an image processing system in the form of a ___.
Answer: knowledge database
5. The dominant application of imaging in the microwave band is ___.
Answer: radar
6. Three membranes enclose the eye: the ___, ___, and ___.
Answer: Cornea, choroid; and retina
7. The distance between the center of the lens and the retina is called ___.
Answer: focal length
8. Phenomenon, in which the eye fills in non-existing information or wrongly perceives geometrical properties of objects is called ___.
Answer: optical illusion
9. Light that is void of color is called ___ light.
Answer: achromatic or monochromatic
10. To create a digital image, we need to convert continuous sensed data into ___ form.
Answer: digital
11. Amplitude Scaling is a method for ___.
Answer: Contrast Manipulation
12. An example of a linear noise cleaning technique is ___.
Answer: Homomorphic Filtering or Convolution method
13. In the case of linear edge crispening, masks that are used possess a property that the sum of their elements is ___.
Answer: unity
14. ___ produces a color image from a monochrome image.
Answer: Pseudocolour
15. There are two basic approaches to the modeling of image degradation effects: ___ and ___.
Answer: a priori modelling, a posteriori modelling
16. The result of sampling and quantization is a matrix of ___ numbers.
Answer: Real
17. The 4-neighbours of p and Diagonal neighbors of p are called ___.
Answer: 8-neighbours
18. ___ are used to calculate the spatial distance between pixel locations.
Answer: Distance measures
19. The Euclidean distance between p and q is defined as ___.
Answer: De(p,q) = [(x-s)2 + (y-t)2]1/2
20. ___–– may be caused by electronic imaging sensors or film granularity.
Answer: Noise disturbances
21. The noise covariance function of an observed image can be estimated by measuring the ___ over a region of relatively constant background luminance.
Answer: image covariance
22. The impulse response of the restoration filter is chosen to minimize the ___.
Answer: mean-square restoration error
23. In the literature, the standard deviation image feature is sometimes called the ___.
Answer: image dispersion
24. ___ are inherently dependent on the size of the observation neighborhood.
Answer: Texture measures
25. ___ textures consist of arrangements of symbols, such as line segments, dots, and stars placed against a neutral background.
Answer: Artificial
26. The luminance of a region of pixels and greyscale textural regions are examples for ___.
Answer: Natural features
27. Image amplitude histograms and spatial frequency spectra are examples of ___.
Answer: artificial features
28. ___ subdivides an image into its constituent regions or objects.
Answer: Segmentation
20. Image segmentation algorithms generally are based on one of two basic properties of intensity values: ___ and ___.
Answer: discontinuity, similarity
30. ___, ___ and___ are the three basic types of discontinuities.
Answer: point, lines, and edges
31. ___ are designed with suitable coefficients and are applied at each point in an image.
Answer: Mask
32. The smoothing effect is an attractive feature of the ___ operators.
Answer: Sobel
33. In ___ neighboring pixels of similar amplitude are grouped together to form a segmented region.
Answer: Region growing
34. A ___ is a set of connected pixels that lie on the boundary between two regions.
Answer: Edge
35. ___ Derivatives of a digital image are based on various approximations of the 2-D gradient.
Answer: First-order
36. ___ Edge linking process takes an unordered set of edge pixels produced by an edge detector as an input to form an ordered list of edges.
Answer: Edge linking
37. The ___ can be treated as the class boundary.
Answer: Threshold
38. The ___, also called the distance map, is a useful distance measuring tool.
Answer: distance transform
39. The spatial orientation of an object with respect to a horizontal reference axis is the basis of a set of orientation descriptors developed at the ___.
Answer: Stanford Research Institute
40. In a ___ algorithm for thinning and skeletonizing, pixels are examined for deletion (erasure) in a fixed sequence over several iterations of an algorithm.
Answer: sequential
41. ___ signals are those whose properties do not change much.
Answer: Stationary signals
42. A transform similar in properties to the Fourier transform, but with piece-wise constant bases is the ___.
Answer: Walsh transform
43. One way to localize the high frequencies while preserving the linearity of the operator is to use a ___.
Answer: Windowed Fourier transform (WFT)
44. A multi-dimensional wavelet transform is frequently referred to in the literature as a ___.
Answer: Wavelet decomposition
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Conclusion
Taking a Digital Image Processing MCQ quiz may help increase your understanding of the topic. The practice questions and answers might help you better retain the information, and potentially improve your score on any related exams.
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