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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

Image Classification

In this chapter, we will learn about the image classification problem, which is a supervised machine learning task of assigning (the most likely) label to an input image from a fixed set of labels (categories ). We will also learn how to classify images using different Python libraries. This is one of the core problems in image processing that has a large variety of practical applications. Moreover, many other seemingly different image-processing tasks (such as object detection and segmentation) can be reduced to image classification. Image classification refers to the process of assigning a label to (that is, classifying) an image based on its visual content. For example, a binary image classification algorithm (model) may be developed to predict whether a human is in an image.

In this chapter, you will primarily learn how to implement two types of image...

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