WorksheetsSKEM4133 MVS 2324-1 Topic 5
Total questions: 10
Worksheet time: 10mins
Object _________ are the most important cues that link an intensity image with its interpretation.
shapes
boundaries
colors
textures
An edge detection technique based on the zero-crossings of the _________ explores the fact that a step edge corresponds to __________in the image function.
second derivative, an edge blurring
first derivative, an abrupt change
second derivative, an abrupt change
first derivative, an edge detection
The ________ of the image function should have an extremum at the position corresponding to the edge in the image, and so the _________ should be zero at the same point.
second derivative, first derivative
first derivative, second derivative
second derivative, third derivative
third derivative, second derivative
After image convolution with ___________, the locations in the convolved image where the zero level is crossed correspond to the positions of edges.
derivative of the Gaussian filter
derivative of the Laplacian filter
derivative of the Gaussian operator
derivative of the Laplacian filter
The following statements are TRUE about the Canny edge detector EXCEPT:
Canny edge detection operator uses a multi-stage algorithm
It was developed by John F. Canny
It detects a wide range of edges in images
It can be used to smooth out sharp edges in images
____________ is an important part of image processing as it facilitates the computational identification and _________ of images into distinct parts.
Edge detection, separation
Edge smoothing, separation
Edge detection, grouping
Edge blurring, grouping
Choose the correct sequence for the Canny edge detection process:
Gaussian filtering, Image gradient, Non-maximum suppression, Hysteresis
Image gradient, Gaussian filtering, Non-maximum suppression, Hysteresis
Gaussian filtering, Hysteresis, Non-maximum suppression, Image gradient
Gaussian filtering, Non-maximum suppression, Image gradient, Hysteresis
As noise can mislead the result in finding edges, we have to _____ the noise. Therefore, the image is smoothed by applying a _______________.
reduce, Laplacian filter
reduce, Gaussian filter
eliminate, Gaussian filter
eliminate, Laplacian filter
Non-maximum suppression is necessary to convert the _______ in the image of the gradient magnitudes to _________.
blurred edges, sharp edges
sharp edges, blurred edges
missing edges, clear edges
missing objects, sharp edges
In image processing, ________compares two images to build an intermediate image. The function takes two binary images that have been ________ at different levels.
hysteresis, thresholded
convolution, smoothed
threshold, smoothed
convolution, thresholded
