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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 2. An Introduction to the Basics of OpenCV FREE CHAPTER 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

Introducing machine learning concepts


Machine learning is an old concept that was defined in 1959 by Arthur Samuel as a field of study that gives computers the ability to learn without being explicitly programmed. Tom. M. Mitchel provided a more formal definition. In this definition, Tom links the concept of samples or experiences, labels, and performance measurements.

Note

The machine learning definition by Arthur Samuel is referenced from Some Studies in Machine Learning Using the Game of Checkers in the IBM Journal of Research and Development (Volume: 3, Issue: 3), p. 210 and a phrase in The New Yorker and Office Management the same year.

The more formal definition by Tom. M. Mitchel is referenced from Machine Learning Book, McGray Hill 1997 (http://www.cs.cmu.edu/afs/cs.cmu.edu/user/mitchell/ftp/mlbook.html).

Machine learning involves pattern recognition and the learning theory in artificial intelligence and is related to computational statistics.

Machine learning is used in hundreds of applications...

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