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Python Image Processing Cookbook

You're reading from  Python Image Processing Cookbook

Product type Book
Published in Apr 2020
Publisher Packt
ISBN-13 9781789537147
Pages 438 pages
Edition 1st Edition
Languages
Author (1):
Sandipan Dey Sandipan Dey
Profile icon Sandipan Dey
Toc

Table of Contents (11) Chapters close

Preface 1. Image Manipulation and Transformation 2. Image Enhancement 3. Image Restoration 4. Binary Image Processing 5. Image Registration 6. Image Segmentation 7. Image Classification 8. Object Detection in Images 9. Face Recognition, Image Captioning, and More 10. Other Books You May Enjoy

Applying Morphological filters

As you have seen from the last recipe, morphological operators (such as erosion, dilation, erode, opening, and closing) can be applied through binary image filtering to grow/shrink image regions, as well as to remove or fill in image region boundary pixels. In this recipe, you will learn how to apply a few more morphological filters to a binary image to enhance the image or get the desired results. Some more morphology filters include top-hat transforms, morphological gradient, and morphological Laplace.

Getting ready

Import the necessary libraries, modules, and functions required to start by using the following code block:

#!pip install itk 
from
skimage.morphology import flood_fill, diameter_closing...
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