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

Other morphological operators

Here are some other morphological operators that are interesting. Let's first take a look at the output image. We can take a look at the code at the end of this section.

Morphological opening

This is an operation that opens a shape. This operator is frequently used for noise removal in an image. We can achieve morphological opening by applying erosion followed by dilation to an image. The morphological opening process basically removes small objects from the foreground in the image by placing them in the background:

Here is the function to the perform morphological opening:

Mat performOpening(Mat inputImage, int morphologyElement, int morphologySize)
    Mat outputImage, tempImage;
    int morphologyType;
    if(morphologyElement == 0)
        morphologyType = MORPH_RECT;
    else if(morphologyElement == 1)
        morphologyType = MORPH_CROSS;
    else if(morphologyElement == 2)
        morphologyType = MORPH_ELLIPSE;
    // Create the structuring...