Foundations of Computer Vision Computational Geometry, Visual Image Structures and Object Shape Detection /

This book introduces the fundamentals of computer vision (CV), with a focus on extracting useful information from digital images and videos. Including a wealth of methods used in detecting and classifying image objects and their shapes, it is the first book to apply a trio of tools (computational ge...

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Bibliographic Details
Main Author: Peters, James F. (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Intelligent Systems Reference Library, 124
Subjects:
Computational intelligence.
Computer vision.
Artificial intelligence.
Graph theory.
Computational Intelligence.
Computer Vision.
Artificial Intelligence.
Graph Theory.
Online Access:Full-text access
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Table of Contents:
  • Basics Leading to Machine Vision
  • Working with Pixels
  • Visualising Pixel Intensity Distributions
  • Linear Filtering
  • Edges, Lines, Corners, Gaussian kernel and Voronoï Meshes
  • Delaunay Mesh Segmentation
  • Video Processing. An Introduction to Real-Time and Offline Video Analysis
  • Lowe Keypoints, Maximal Nucleus Clusters, Contours and Shapes
  • Postscript. Where Do Shapes fit into the Computer Vision Landscape?.

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