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Learn OpenCV 4 by Building Projects

You're reading from   Learn OpenCV 4 by Building Projects Build real-world computer vision and image processing applications with OpenCV and C++

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789341225
Length 310 pages
Edition 2nd Edition
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Authors (3):
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David Millán Escrivá David Millán Escrivá
Author Profile Icon David Millán Escrivá
David Millán Escrivá
Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
Vinícius G. Mendonça Vinícius G. Mendonça
Author Profile Icon Vinícius G. Mendonça
Vinícius G. Mendonça
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with OpenCV FREE CHAPTER 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

Slimming the shapes

We achieve this effect using an operation called erosion. This is the operation that makes a shape thinner by peeling the boundary layers of all the shapes in the image:

Let's look at the function that performs morphological erosion:

Mat performErosion(Mat inputImage, int erosionElement, int erosionSize)
{

Mat outputImage;
int erosionType;

if(erosionElement == 0)
erosionType = MORPH_RECT;
else if(erosionElement == 1)
erosionType = MORPH_CROSS;
else if(erosionElement == 2)
erosionType = MORPH_ELLIPSE;

// Create the structuring element for erosion
Mat element = getStructuringElement(erosionType, Size(2*erosionSize + 1, 2*erosionSize + 1), Point(erosionSize, erosionSize));

// Erode the image using the structuring element
erode(inputImage, outputImage, element);

// Return the output image
return outputImage...
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