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OpenCV By Example

You're reading from   OpenCV By Example Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3

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Product type Paperback
Published in Jan 2016
Publisher Packt
ISBN-13 9781785280948
Length 296 pages
Edition 1st Edition
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Authors (3):
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Vinícius G. Mendonça Vinícius G. Mendonça
Author Profile Icon Vinícius G. Mendonça
Vinícius G. Mendonça
David Millán Escrivá David Millán Escrivá
Author Profile Icon David Millán Escrivá
David Millán Escrivá
Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with OpenCV FREE CHAPTER 2. An Introduction to the Basics of OpenCV 3. Learning the Graphical User Interface and Basic Filtering 4. Delving into Histograms and Filters 5. Automated Optical Inspection, Object Segmentation, and Detection 6. Learning Object Classification 7. Detecting Face Parts and Overlaying Masks 8. Video Surveillance, Background Modeling, and Morphological Operations 9. Learning Object Tracking 10. Developing Segmentation Algorithms for Text Recognition 11. Text Recognition with Tesseract Index

Creating an application for AOI


To create our new application, we require a few input parameters when the user executes them; all of them are optional, excluding the input image to be processed:

  • An input image to be processed

  • The light image pattern

  • The light operation, where the user can choose between difference or division operations:

    • If the input value of the user is set to 0, then a difference operation is applied

    • If the input value of the user is set to 1, then a division operation is applied

  • Segmentation, where the user can choose between connected components with or without statistics and findContours methods:

    • If the input value of the user is set to 1, then the connected components method for the segment is applied

    • If the input value of the user is set to 2, then the connected components with the statistics area is applied

    • If the input value of the user is set to 3, then the findContours method is applied to the segmentation

To enable this user selection, we will use the command line parser...

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