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Learn OpenCV 4 by Building Projects, - Second Edition

You're reading from  Learn OpenCV 4 by Building Projects, - Second Edition

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781789341225
Pages 310 pages
Edition 2nd Edition
Languages
Authors (3):
David Millán Escrivá David Millán Escrivá
Profile icon David Millán Escrivá
Vinícius G. Mendonça Vinícius G. Mendonça
Profile icon Vinícius G. Mendonça
Prateek Joshi Prateek Joshi
Profile icon Prateek Joshi
View More author details
Toc

Table of Contents (14) Chapters close

Preface 1. Getting Started with OpenCV 2. An Introduction to the Basics of OpenCV 3. Learning Graphical User Interfaces 4. Delving into Histogram 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 12. Deep Learning with OpenCV 13. Other Books You May Enjoy

Isolating objects in a scene

In this chapter, we are going to introduce the first step in an AOI algorithm and try to isolate different parts or objects in a scene. We are going to take the example of the object detection and classification of three object types (screw, packing ring, and nut) and develop them in this chapter and Chapter 6, Learning Object Classification.

Imagine that we are in a company that produces these three objects. All of them are in the same carrier tape. Our objective is to detect each object in the carrier tape and classify each one to allow a robot to put each object on the correct shelf:

In this chapter, we are going to learn how to isolate each object and detect its position in the image in pixels. In the next chapter, we are going to learn how to classify each isolated object to recognize if it is a nut, screw, or a packing ring.

In the following...

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