WorksheetsImage Processing Quiz
Total questions: 25
Worksheet time: 13mins
What is the primary goal of local pre-processing in image processing?
To enhance specific features in an image
To compress an image
To convert an image to grayscale
To add noise to an image
Which of the following techniques is commonly used for image smoothing?
Sobel operator
Gaussian filter
Canny edge detection
Hough transform
What is the purpose of image smoothing?
To sharpen the image
To reduce noise and fine details
To increase resolution
To convert an image to binary
Which filter is most commonly used for noise reduction in an image?
High-pass filter
Gaussian filter
Laplacian filter
Sobel filter
What is the main advantage of using a median filter for smoothing?
It removes noise while preserving edges
It enhances the contrast of an image
It converts an image to grayscale
It reduces the image resolution
Which of the following is an edge detection method?
Fourier transform
Canny edge detector
Image segmentation
Run-length encoding
Which of the following is a first-order edge detection operator?
Laplacian operator
Sobel operator
Gaussian filter
Median filter
The second derivative in edge detection is commonly used for detecting:
Object boundaries
Zero crossings
Noise reduction
Image smoothing
The Laplacian of Gaussian (LoG) operator is used for:
Image smoothing and edge detection
Color segmentation
Image compression
Contrast enhancement
The zero-crossing of which derivative is used for detecting edges?
First derivative
Second derivative
Third derivative
Fourth derivative
Which operator is used in Canny edge detection for finding intensity gradients?
Prewitt operator
Sobel operator
Laplacian operator
Fourier transform
The Canny edge detector consists of how many steps?
2
3
4
5
What is the purpose of non-maximum suppression in the Canny edge detector?
To smooth the image
To thin edges and remove weak responses
To apply thresholding
To detect colors in an image
Scale-space representation in image processing is used for:
Multi-resolution analysis
Image compression
Image segmentation
Color enhancement
Which of the following edge models is based on a mathematical function?
Non-parametric edge model
Parametric edge model
Statistical edge model
Fuzzy edge model
What is the main challenge in edge detection for multispectral images?
Different spectral bands may have different edge characteristics
The images are always grayscale
No edges exist in multispectral images
Color information is not available
Which of the following is used for local preprocessing in the frequency domain?
Convolution in the spatial domain
Fourier transform
Chain coding
Quadtrees
The Fourier transform helps in:
Edge detection
Image smoothing
Frequency domain analysis
Pixel grouping
Which transform is commonly used for line detection?
Fourier transform
Hough transform
Laplacian transform
Discrete wavelet transform
The main advantage of using the Hough transform for line detection is:
It is noise-resistant
It works only on grayscale images
It removes color from images
It smooths the image
What is the primary purpose of image restoration?
To enhance image resolution
To remove distortions and recover the original image
To compress the image
To convert an image to grayscale
Which type of noise can be removed using an averaging filter?
Impulse noise
Gaussian noise
Speckle noise
Poisson noise
Which filter is most suitable for removing salt-and-pepper noise?
Gaussian filter
Median filter
Sobel filter
Laplacian filter
Wiener filtering is used for:
Image compression
Image restoration
Edge detection
Color segmentation
What is the purpose of deblurring in image restoration?
To remove motion blur or out-of-focus effects
To increase noise in an image
To convert an image to binary
To enhance brightness
