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OpenCV 4 Computer Vision Application Programming Cookbook - Fourth Edition

You're reading from  OpenCV 4 Computer Vision Application Programming Cookbook - Fourth Edition

Product type Book
Published in May 2019
Publisher Packt
ISBN-13 9781789340723
Pages 494 pages
Edition 4th Edition
Languages
Authors (2):
David Millán Escrivá David Millán Escrivá
Profile icon David Millán Escrivá
Robert Laganiere Robert Laganiere
Profile icon Robert Laganiere
View More author details

Table of Contents (17) Chapters

Preface 1. Playing with Images 2. Manipulating the Pixels 3. Processing Color Images with Classes 4. Counting the Pixels with Histograms 5. Transforming Images with Morphological Operations 6. Filtering the Images 7. Extracting Lines, Contours, and Components 8. Detecting Interest Points 9. Describing and Matching Interest Points 10. Estimating Projective Relations in Images 11. Reconstructing 3D Scenes 12. Processing Video Sequences 13. Tracking Visual Motion 14. Learning from Examples 15. OpenCV Advanced Features 16. Other Books You May Enjoy

Eroding and dilating images using morphological filters

Erosion and dilation are the most fundamental morphological operators. Therefore, we will present these in the first recipe of this chapter. The fundamental component in mathematical morphology is the structuring element. A structuring element can be simply defined as a configuration of pixels (the square shape in the following diagram) on which an origin is defined (also called an anchor point). Applying a morphological filter consists of probing each pixel of the image using this structuring element. When the origin of the structuring element is aligned with a given pixel, its intersection with the image defines a set of pixels on which a particular morphological operation is applied (the nine shaded pixels in the following figure). In principle, the structuring element can be of any shape, but most often, a simple shape...

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