MCQs

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Overall MCQs for Reference

Which of the following is the first step in image processing?
a. Segmentation
b. Image acquisition
c. Image enhancement
d. Image restoration
Answer: b. Image acquisitionbyjus+1
What does segmentation in image processing refer to?
a. Dividing image into regions
b. Enhancing image quality
c. Compressing the image
d. Matching templates
Answer: a. Dividing image into regionssanfoundry+1
Which function adjusts the dynamic range of pixels in an image?
a. Morphological processing
b. Intensity transformation
c. Filtering
d. Sampling
Answer: b. Intensity transformationgrt+1
What is the smallest discernible change in intensity level called?
a. Intensity resolution
b. Contrast
c. Saturation
d. Pixellation
Answer: a. Intensity resolutiongrt
Gamma correction is used for:
a. Expanding the color channel
b. Power-law transformation adjustment
c. Histogram matching
d. Masking
Answer: b. Power-law transformation adjustmentaimcqs+1
Which technique expands the range of intensity levels in an image?
a. Shading correction
b. Contrast stretching
c. Gamma correction
d. Clipping
Answer: b. Contrast stretchingsanfoundry+1
Histogram equalization is applied to:
a. Enhance image contrast
b. Segment the image
c. Compress the image
d. Sample the image
Answer: a. Enhance image contrastsanfoundry+1
In digital image processing, interpolation is mainly used for:
a. Estimating unknown pixel values
b. Enhancing colors
c. Reducing noise
d. Compressing images
Answer: a. Estimating unknown pixel valueskdkce+1
What does edge detection help in?
a. Detecting object boundaries
b. Removing noise
c. Increasing saturation
d. Downsampling
Answer: a. Detecting object boundariesaimcqs+1
Which algorithm is widely used for image classification?
a. K-means clustering
b. AlexNet
c. Random Forests
d. PCA
Answer: b. AlexNetaimcqs
What process improves the visual appearance of images?
a. Image enhancement
b. Image restoration
c. Segmentation
d. Coding
Answer: a. Image enhancementaionlinecourse+1
In morphological operations, dilation is used to:
a. Shrink objects
b. Enlarge objects
c. Segment objects
d. Enhance brightness
Answer: b. Enlarge objectskdkce+1
Which method is used for noise reduction in images?
a. Histogram matching
b. Filtering
c. Segmentation
d. Masking
Answer: b. Filteringsanfoundry+1
What is the primary objective of image restoration?
a. Recovering degraded images
b. Compressing images
c. Segmenting images
d. Matching templates
Answer: a. Recovering degraded imageskdkce+1
Mean filter is best suited for:
a. Edge detection
b. Image smoothing
c. Histogram equalization
d. Object recognition
Answer: b. Image smoothingkdkce+1
What determines the quality of a digital image?
a. Sampling only
b. Number of discrete gray levels
c. Both sampling & gray levels
d. Contrast only
Answer: c. Both sampling & gray levelsgrt+1
Power-law transformations are also called:
a. Gamma correction
b. Histogram equalization
c. Masking
d. Smoothing
Answer: a. Gamma correctiongrt
The ‘masking’ operation in image processing does:
a. ROI selection
b. Object recognition
c. Histogram stretching
d. Compression
Answer: a. ROI selectionaimcqs+1
Fourier Transform is primarily used for:
a. Frequency analysis of images
b. Segmenting images
c. Compressing images
d. Matching templates
Answer: a. Frequency analysis of imagessanfoundry+1
What is image quantization?
a. Reducing resolution
b. Converting image to binary
c. Assigning discrete bright levels
d. Sharpening image edges
Answer: c. Assigning discrete bright levelsgrt+1
Which is not a fundamental task in computer vision?
a. Object detection
b. Image classification
c. Speech recognition
d. Image segmentation
Answer: c. Speech recognitionaimcqs
Which approach helps extract objects from a noisy background?
a. Edge linking
b. Color slicing
c. Contour mapping
d. Histogram equalization
Answer: a. Edge linkingsanfoundry+1
What type of filter is Laplacian?
a. Smoothing filter
b. Sharpening filter
c. Matching filter
d. Compression filter
Answer: b. Sharpening filterkdkce+1
Point detection in images is used for:
a. Identifying isolated pixels
b. Segmenting objects
c. Enhancing brightness
d. Matching colors
Answer: a. Identifying isolated pixelskdkce+1
Which technique is suitable for highlighting edges in an image?
a. Sobel operator
b. Gamma correction
c. Mean filter
d. Masking
Answer: a. Sobel operatoraimcqs+1
In color image processing, ‘pseudo-coloring’ means:
a. Assigning artificial colors to grayscale images
b. Enhancing true colors
c. Removing color
d. Blurring image
Answer: a. Assigning artificial colors to grayscale imagesaionlinecourse+1
What is the application of image blurring?
a. Image segmentation
b. Preprocessing noise reduction
c. Masking
d. Image enhancement
Answer: a. Image segmentationsanfoundry+1
Which algorithm is commonly used for image super-resolution?
a. K-means clustering
b. Decision Trees
c. Support Vector Machines (SVM)
d. GANs (Generative Adversarial Networks)
Answer: d. GANs (Generative Adversarial Networks)aimcqs
What is ‘compression’ in image processing?
a. Reducing image size by encoding
b. Enhancing image contrast
c. Adding artificial colors
d. Segmenting regions
Answer: a. Reducing image size by encodingsanfoundry+1
Object recognition in images is used for:
a. Identifying specific objects
b. Detecting edges
c. Masking background
d. Adjusting intensity
Answer: a. Identifying specific objectsaimcqs+1
Which of the following helps separate foreground from background?
a. Thresholding
b. Smoothing
c. Compression
d. Masking
Answer: a. Thresholdingaionlinecourse+1
What is template matching?
a. Comparing image with predefined template
b. Masking
c. Histogram equalization
d. Sharpening image
Answer: a. Comparing image with predefined templateaionlinecourse+1
Which method improves sharpness in images?
a. Increasing brightness
b. Histogram equalization
c. Unsharp masking
d. Object recognition
Answer: c. Unsharp maskingsanfoundry+1
Image segmentation can be performed using:
a. Edge detection
b. Color slicing
c. Region growing
d. All of the above
Answer: d. All of the aboveaionlinecourse+2
Which transformation stretches brightness levels for full range?
a. Power-law transformation
b. Contrast stretching
c. Gamma correction
d. Histogram matching
Answer: b. Contrast stretchinggrt+1
PCA (Principal Component Analysis) is used for:
a. Dimensionality reduction
b. Edge enhancement
c. Compression
d. Intensity transformation
Answer: a. Dimensionality reductionaimcqs
Image alignment refers to:
a. Registering images to a common coordinate system
b. Segmentation
c. Masking
d. Quantization
Answer: a. Registering images to a common coordinate systemaimcqs
Structure from Motion (SfM) estimates:
a. Depth by analyzing motion
b. Color histogram
c. Frequency domain
d. Region growing
Answer: a. Depth by analyzing motionaimcqs
What is the role of feature descriptors in image processing?
a. Representing texture, shape, and color
b. Compressing images
c. Masking
d. Histogram equalization
Answer: a. Representing texture, shape, and colorsanfoundry+1
Which clustering method is typically used in image segmentation?
a. K-means
b. AlexNet
c. Decision Trees
d. PCA
Answer: a. K-meanssanfoundry+1
In deep learning, CNNs are highly effective for:
a. Image recognition
b. Speech synthesis
c. Data mining
d. Histogram equalization
Answer: a. Image recognitionigmguru+1
What is an application for image stitching?
a. Creating panoramas
b. Enhancing contrast
c. Masking colors
d. Reducing noise
Answer: a. Creating panoramasaionlinecourse+1
Which filter is used for fast denoising?
a. Median filter
b. Laplacian filter
c. Mean filter
d. Sobel filter
Answer: a. Median filterkdkce+2
Which algorithm helps estimate depth in stereo images?
a. SVM
b. Stereo matching
c. GAN
d. Quantization
Answer: b. Stereo matchingaimcqs
Image acquisition involves:
a. Capturing images using sensors
b. Enhancing image contrast
c. Compressing images
d. Masking colors
Answer: a. Capturing images using sensorstestbook+1
What is the main goal of image restoration?
a. Remove distortions or noise
b. Increase brightness
c. Add colors
d. Stitch images
Answer: a. Remove distortions or noisesanfoundry+1
Which operation helps in finding boundaries of objects?
a. Edge detection
b. Contrast stretching
c. Template matching
d. Histogram equalization
Answer: a. Edge detectionaionlinecourse+2
Which deep learning technique generates new images similar to the training set?
a. GANs
b. K-means
c. PCA
d. SVM
Answer: a. GANsaimcqs
Which process results in masking of pixels outside a selected region?
a. ROI selection
b. Histogram equalization
c. Segmentation
d. Edge detection
Answer: a. ROI selectionsanfoundry+1
How does image processing contribute to AI-driven medical imaging?
a. Detects abnormalities
b. Segments organs
c. Enhances scan quality
d. All of the above
Answer: d. All of the aboveaionlinecourse+1

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