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Image processing, Analysis, and Machine Vision

Milan Sonka, Václav Hlavác, Roger Boyle

Chapter 7

Segmentation II - all with Video Answers

Educators


Chapter Questions

02:12

Problem 1

What is a probability density mode?

Alexandra Koziel
Alexandra Koziel
Numerade Educator
01:26

Problem 2

Given a set of multidimensional samples, what is the result of the mean-shift procedure?

Evelyn Cunningham
Evelyn Cunningham
Numerade Educator

Problem 3

Describe the principle of mean-shift segmentation.

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Problem 4

Give equations for the normal kernel, its profile, and its derivative.

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01:15

Problem 5

Give equations for the Epanechnikov kernel, its profile, and its derivative.

Stephen Hobbs
Stephen Hobbs
Numerade Educator

Problem 6

What is a basin of attraction?

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01:30

Problem 7

Give an example of a useful internal snake energy and explain its aim and influence.

Liv Meaghan
Liv Meaghan
Numerade Educator
01:25

Problem 8

Give an example of a useful external snake energy and explain its aim and influence.

rb
Rabia Bibi
Numerade Educator

Problem 9

Design an image energy term of a snake to trace lines of gray level 128.

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Problem 10

Give a continuous snake evolution equation and describe its discretization in time.

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Problem 11

Give a continuous snake evolution equation and describe its discretization in space.

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Problem 12

Explain the conceptual difference between snakes and balloons.

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01:18

Problem 13

What is the purpose of the gradient vector flow field for active contour segmentation?

Ajay Singhal
Ajay Singhal
Numerade Educator

Problem 14

What are the advantages and disadvantages of a level set representation?

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Problem 15

How shoukd we choose the time step of a level set evolution?

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01:49

Problem 16

For Level Set 'speed functions'
(a) Explain the main role the function in image segmentation.
(b) Give a general expreasion for a function based on curvature and constant deformation.
(c) Using this function, explain the behavior leading to convergence.

Lucas Finney
Lucas Finney
Numerade Educator

Problem 17

Define fuzzy connectedness.

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Problem 18

Explain how an optimal pair of borders can be simultaneously detected using graph searching. How is the cost of a pair of border points determined from the underlying image data?

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Problem 19

Explain why simultaneous detection of two borders in a 2D image requires a 3D graph; sketch how such a graph may be constructed.

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01:26

Problem 20

Formulate binary segmentation as a problem of searching a minimum cut in a graph.

Nick Johnson
Nick Johnson
Numerade Educator

Problem 21

Explain why optimal surface detection results in combinatorial explosion of the search space.

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