LL9 Flashcards
(60 cards)
What is the relationship between erosion of the foreground and dilation of the background?
An erosion of the foreground with s is the same as a dilation of the background with s
This characteristic is a part of the duality feature in mathematical morphology.
What is the duality feature in mathematical morphology?
The duality feature states that an erosion of the foreground is equivalent to a dilation of the background and vice versa.
Is dilation associative and commutative?
Yes, dilation is associative and commutative.
Is erosion associative and commutative?
No, erosion is not associative or commutative.
What is the property of idempotency in mathematical morphology?
An operation is idempotent if repeating it with the same structuring element does not change the result.
What does it mean for opening and closing to be translation invariant?
It means that the operation produces the same result regardless of the position of the input image.
What is the standard size of a structuring element (SE) used in dilation and erosion?
The standard size of a structuring element is 3x3, referred to as Z8.
What does the Hit-or-Miss transformation operator do?
It looks for patterns in the foreground and background, yielding a match or miss.
What is the definition of distance in the context of images?
Distance is expressed as the shortest path between two points in the grid, or two centers of pixels.
What is a distance transform?
A binary image is transformed such that each pixel represents the distance to one pixel or a set of pixels in the original image.
How does the distance transform represent spatial occupancy?
It converts a binary image containing an object and its background to an image where all pixels represent the distance to the nearest background pixel.
What is a Voronoi diagram?
A Voronoi diagram divides a space into areas where all points in an area are closer to a defined point than to any other.
How do Voronoi diagrams relate to distance transforms?
The distance transform is the equivalent of a Voronoi diagram in image space.
What metrics are important in distance transforms?
Metrics include:
* City block distance
* Chessboard distance
* Chamfer distance
* Hexa-decagonal distance
* Euclidean distance
* Vector distance
What is the difference between 4-connected and 8-connected neighborhoods?
4-connected considers direct neighbor pixels, while 8-connected includes diagonal neighbor pixels.
What does city block distance measure?
It measures the path between pixels based on a 4-connected neighborhood.
What does chessboard distance measure?
It measures the path between pixels based on an 8-connected neighborhood.
What is the significance of the distance transform in image analysis?
It provides a representation of distances on a grid, allowing for various image processing applications.
What is a complement of an image?
The complement of an image is the inversion of pixel values in the image.
What is the City Block Distance also known as?
It is also known as Manhattan distance.
What is another name for Chessboard distance?
Chebyshev distance.
List the three types of distance metrics mentioned.
- City Block Distance
- Chessboard Distance
- Euclidean Distance
True or False: The Euclidean distance metric is always the best approximation for circular shapes.
False
What is the role of a metric structuring element in distance approximation?
It helps in the approximation of Euclidean distance.