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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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Thickening the shapes

We use an operation called dilation to achieve thickening. This is the operation that makes a shape thicker by adding boundary layers to all the shapes in the image:

Here is the code to do it:

Mat performDilation(Mat inputImage, int dilationElement, int dilationSize)
{
Mat outputImage;
int dilationType;

if(dilationElement == 0)
dilationType = MORPH_RECT;
else if(dilationElement == 1)
dilationType = MORPH_CROSS;
else if(dilationElement == 2)
dilationType = MORPH_ELLIPSE;

// Create the structuring element for dilation
Mat element = getStructuringElement(dilationType, Size(2*dilationSize + 1, 2*dilationSize + 1), Point(dilationSize, dilationSize));

// Dilate the image using the structuring element
dilate(inputImage, outputImage, element);

// Return the output image
return outputImage;
}

...

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