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Python Image Processing Cookbook

You're reading from   Python Image Processing Cookbook Over 60 recipes to help you perform complex image processing and computer vision tasks with ease

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

Table of Contents (11) Chapters Close

Preface 1. Image Manipulation and Transformation 2. Image Enhancement FREE CHAPTER 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

Counting objects

In this recipe, you will learn how to use morphological filters to count objects in a binary image. Often, the objects (blobs) in a binary image are overlapping and, before counting them, we need to do some necessary preprocessing, such as blob separation and detection. Morphological erosion can be quite useful in these cases. Then, contour-finding can be used to count the separated objects. You can use morphological watershed segmentation, too, to separate the blobs and then count them.

Getting ready

Let's import the packages and modules required to start with:

import cv2
import numpy as np
import matplotlib.pylab as plt
...
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