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OpenCV Computer Vision Application Programming Cookbook Second Edition

You're reading from   OpenCV Computer Vision Application Programming Cookbook Second Edition Over 50 recipes to help you build computer vision applications in C++ using the OpenCV library

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Product type Paperback
Published in Aug 2014
Publisher Packt
ISBN-13 9781782161486
Length 374 pages
Edition 1st Edition
Languages
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Author (1):
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Robert Laganiere Robert Laganiere
Author Profile Icon Robert Laganiere
Robert Laganiere
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Toc

Table of Contents (13) Chapters Close

Preface 1. Playing with Images FREE CHAPTER 2. Manipulating Pixels 3. Processing Color Images with Classes 4. Counting the Pixels with Histograms 5. Transforming Images with Morphological Operations 6. Filtering the Images 7. Extracting Lines, Contours, and Components 8. Detecting Interest Points 9. Describing and Matching Interest Points 10. Estimating Projective Relations in Images 11. Processing Video Sequences Index

Index

A

  • adapted feature detection
    • about / Adapted feature detection
  • adaptive thresholding
    • about / Adaptive thresholding
  • algorithm design
    • Strategy design pattern, using / Using the Strategy pattern in an algorithm design, How to do it…, How it works…
  • anchor point
    • about / Eroding and dilating images using morphological filters
  • aperture / Image formation

B

  • backward mapping / How it works...
  • Beucher gradient / How it works...
  • BGR color space / Backprojecting color histograms
  • BGR image
    • converting, into phenomenal color space / How to do it…
  • bicubic interpolation / Interpolating pixel values
  • binary edge map
    • obtaining / How it works...
  • binary features
    • keypoints, describing with / Describing keypoints with binary features, How to do it..., How it works..., There's more...
  • Binary Robust Invariant Scalable Keypoints (BRISK) detector
    • about...
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