Book Image

Hands-On Image Processing with Python

By : Sandipan Dey
Book Image

Hands-On Image Processing with Python

By: Sandipan Dey

Overview of this book

Image processing plays an important role in our daily lives with various applications such as in social media (face detection), medical imaging (X-ray, CT-scan), security (fingerprint recognition) to robotics & space. This book will touch the core of image processing, from concepts to code using Python. The book will start from the classical image processing techniques and explore the evolution of image processing algorithms up to the recent advances in image processing or computer vision with deep learning. We will learn how to use image processing libraries such as PIL, scikit-mage, and scipy ndimage in Python. This book will enable us to write code snippets in Python 3 and quickly implement complex image processing algorithms such as image enhancement, filtering, segmentation, object detection, and classification. We will be able to use machine learning models using the scikit-learn library and later explore deep CNN, such as VGG-19 with Keras, and we will also use an end-to-end deep learning model called YOLO for object detection. We will also cover a few advanced problems, such as image inpainting, gradient blending, variational denoising, seam carving, quilting, and morphing. By the end of this book, we will have learned to implement various algorithms for efficient image processing.

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Table of Contents (20 chapters)
Title Page
Title Page
Copyright and Credits
Copyright and Credits
Dedication
Dedication
About Packt
About Packt
Contributors
Contributors
Preface
Preface
Free Chapter
1
Getting Started with Image Processing
Getting Started with Image Processing
What is image processing and some applications
The image processing pipeline
Setting up different image processing libraries in Python
Image I/O and display with Python
Dealing with different image types and file formats and performing basic image manipulations
Summary
Questions
Further reading
2
Sampling, Fourier Transform, and Convolution
Sampling, Fourier Transform, and Convolution
Image formation – sampling and quantization
Discrete Fourier Transform
Understanding convolution
Summary
Questions
Further reading
3
Convolution and Frequency Domain Filtering
Convolution and Frequency Domain Filtering
Convolution theorem and frequency domain Gaussian blur
Filtering in the frequency domain (HPF, LPF, BPF, and notch filters)
Summary
Questions
Further reading
4
Image Enhancement
Image Enhancement
Point-wise intensity transformations – pixel transformation
Histogram processing – histogram equalization and matching
Linear noise smoothing
Nonlinear noise smoothing
Summary
Questions
Further reading
5
Image Enhancement Using Derivatives
Image Enhancement Using Derivatives
Image derivatives – Gradient and Laplacian
Sharpening and unsharp masking
Edge detection using derivatives and filters (Sobel, Canny, and so on)
Image pyramids (Gaussian and Laplacian) – blending images
Summary
Questions
Further reading
6
Morphological Image Processing
Morphological Image Processing
The scikit-image morphology module
The scikit-image filter.rank module
The SciPy ndimage.morphology module
Summary
Questions
Further reading
7
Extracting Image Features and Descriptors
Extracting Image Features and Descriptors
Feature detectors versus descriptors
Harris Corner Detector
Blob detectors with LoG, DoG, and DoH
Histogram of Oriented Gradients
Scale-invariant feature transform
Haar-like features
Summary
Questions
Further reading
8
Image Segmentation
Image Segmentation
What is image segmentation?
Hough transform – detecting lines and circles
Thresholding and Otsu's segmentation
Edges-based/region-based segmentation
Felzenszwalb, SLIC, QuickShift, and Compact Watershed algorithms 
Active contours, morphological snakes, and GrabCut algorithms
Summary
Questions
Further reading
9
Classical Machine Learning Methods in Image Processing
Classical Machine Learning Methods in Image Processing
Supervised versus unsupervised learning
Unsupervised machine learning – clustering, PCA, and eigenfaces
Supervised machine learning – image classification
Supervised machine learning – object detection
Summary
Questions
Further reading
10
Deep Learning in Image Processing - Image Classification
Deep Learning in Image Processing - Image Classification
Deep learning in image processing
CNNs
Image classification with TensorFlow or Keras
Some popular deep CNNs
Summary
Questions
Further reading
11
Deep Learning in Image Processing - Object Detection, and more
Deep Learning in Image Processing - Object Detection, and more
Introducing YOLO v2 
Deep semantic segmentation with DeepLab V3+
Transfer learning – what it is, and when to use it
Neural style transfers with cv2 using a pre-trained torch model
Summary
Questions
Further reading
12
Additional Problems in Image Processing
Additional Problems in Image Processing
Seam carving
Seamless cloning and Poisson image editing
Image inpainting
Variational image processing
Image quilting
Face morphing
Summary
Questions
Further reading
Other Books You May Enjoy
Other Books You May Enjoy
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Index
Index

Copyright and Credits

Hands-On Image Processing with Python

Copyright © 2018 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Commissioning Editor: Pravin DhandreAcquisition Editor: Devika BattikeContent Development Editor: Unnati GuhaTechnical Editor: Dinesh ChaudharyCopy Editor:Safis EditingProject Coordinator: Manthan PatelProofreader: Safis EditingIndexer: Pratik ShirodkarGraphics: Jisha ChirayilProduction Coordinator: Shraddha Falebhai

First published: November 2018

Production reference: 1301118

Published by Packt Publishing Ltd. Livery Place 35 Livery Street Birmingham B3 2PB, UK.

ISBN 978-1-78934-373-1

www.packtpub.com

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