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Learn OpenCV 4 by Building Projects

Learn OpenCV 4 by Building Projects

By : Millán Escrivá, Vinícius G. Mendonça, Joshi
2.5 (2)
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Learn OpenCV 4 by Building Projects

Learn OpenCV 4 by Building Projects

2.5 (2)
By: Millán Escrivá, Vinícius G. Mendonça, Joshi

Overview of this book

OpenCV is one of the best open source libraries available, and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you’re completely new to computer vision, or have a basic understanding of its concepts, Learn OpenCV 4 by Building Projects – Second edition will be your guide to understanding OpenCV concepts and algorithms through real-world examples and projects. You’ll begin with the installation of OpenCV and the basics of image processing. Then, you’ll cover user interfaces and get deeper into image processing. As you progress through the book, you'll learn complex computer vision algorithms and explore machine learning and face detection. The book then guides you in creating optical flow video analysis and background subtraction in complex scenes. In the concluding chapters, you'll also learn about text segmentation and recognition and understand the basics of the new and improved deep learning module. By the end of this book, you'll be familiar with the basics of Open CV, such as matrix operations, filters, and histograms, and you'll have mastered commonly used computer vision techniques to build OpenCV projects from scratch.
Table of Contents (14 chapters)
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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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