Active Contour - Advancing Computer Vision with Active Contour Techniques

Fouad Sabry

Summary

What is Active Contour
 
The active contour model, which is often referred to as snakes, is a framework in the field of computer vision that was initially introduced by Michael Kass, Andrew Witkin, and Demetri Terzopoulos. Its purpose is to outline an object from a two-dimensional image that may contain noise. Object tracking, shape recognition, segmentation, edge detection, and stereo matching are just some of the applications that make extensive use of snakes. The snakes model is becoming increasingly popular in the field of computer vision.
 
How you will benefit
 
(I) Insights, and validations about the following topics:
 
Chapter 1: Active contour model
 
Chapter 2: Generalized Stokes theorem
 
Chapter 3: Potential flow
 
Chapter 4: Del
 
Chapter 5: Lagrange multiplier
 
Chapter 6: Calculus of variations
 
Chapter 7: Laplace operator
 
Chapter 8: Green's function
 
Chapter 9: Covariant derivative
 
Chapter 10: Tensor calculus
 
(II) Answering the public top questions about active contour.
 
(III) Real world examples for the usage of active contour in many fields.
 
Who this book is for
 
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Active Contour.

Available since: 04/30/2024.

Print length: 178 pages.

Science & Technology

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