Book Image

OpenCV By Example

By : Prateek Joshi, David Millán Escrivá, Vinícius G. Mendonça
Book Image

OpenCV By Example

By: Prateek Joshi, David Millán Escrivá, Vinícius G. Mendonça

Overview of this book

Open CV is a cross-platform, free-for-use library that is primarily used for real-time Computer Vision and image processing. It is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you are completely new to the concept of Computer Vision or have a basic understanding of it, this book will be your guide to understanding the basic OpenCV concepts and algorithms through amazing real-world examples and projects. Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used Computer Vision techniques to build your own Open CV projects from scratch. By the end of this book, you will be familiar with the basics of Open CV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition.
Table of Contents (18 chapters)
OpenCV By Example
About the Authors
About the Reviewers

Isolating objects in a scene

In this section, we will introduce you to the first step of any AOI algorithm, that is, isolating different parts or objects in a scene.

We will take the example of object detection and classification of three object types: a screw, a packing ring, and a nut and develop these in this chapter and Chapter 6, Learning Object Classification.

Let's say we are in a company that produces these three objects. All of them are in the same carrier tape, and 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 will isolate each object and detect its position in the image in pixels. In the next chapter, we will classify each isolated object to check whether it is a nut, a screw, or a packing ring.

In the following image, we show our desired result where there are a few objects in the left-hand side image, and in the right-hand side image, we draw each one in different colors...