Hands-On Image Processing with Python: Expert techniques for advanced image analysis and effective interpretation of image data

Sandipan Dey

€18.99 per month

3 (5 Ratings)

Paperback Nov 2018 492 pages 1st Edition

Sandipan Dey

€18.99 per month

3 (5 Ratings)

Paperback Nov 2018 492 pages 1st Edition

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Key benefits

Practical coverage of every image processing task with popular Python libraries
Includes topics such as pseudo-coloring, noise smoothing, computing image descriptors
Covers popular machine learning and deep learning techniques for complex image processing tasks

Description

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.

Who is this book for?

This book is for Computer Vision Engineers, and machine learning developers who are good with Python programming and want to explore details and complexities of image processing. No prior knowledge of the image processing techniques is expected.

What you will learn

Perform basic data pre-processing tasks such as image denoising and spatial filtering in Python
Implement Fast Fourier Transform (FFT) and Frequency domain filters (e.g., Weiner) in Python
Do morphological image processing and segment images with different algorithms
Learn techniques to extract features from images and match images
Write Python code to implement supervised / unsupervised machine learning algorithms for image processing
Use deep learning models for image classification, segmentation, object detection and style transfer

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S.C.N.T Jan 15, 2022

Das Buch liefert als Hands-On Handbuch, die Möglichkeit, die im Buch beschriebenen Beispiele mit vergleichsweise wenig Aufwand selbst nachzuvollziehen. Faktisch auf dem eigenen Laptop Python zu installieren, die relevanten Pakete runterzuladen und dann anhand der Download-baren Skripte und Bilder von Packt.com die angegebenen Beispiele auf dem eigenen Laptop durchzurechnen. Damit ist für mich die Anforderung an ein Hands-On Handbuch absolut erfüllt. Ich habe vorher noch nie mit Python gearbeitet, habe aber umfangreiche Programmiererfahrung mit Matlab und C++. Das erfolgreiche Ausführen eines der Beispiele zum Inpainting in Kapitel 12 Seiten 450 bis 452 hat etwa 3 Stunden gedauert (inkl. der gesamten Installation der notwendigen SW).

Amazon Verified review

fengsien Aug 16, 2021

Since 2020 I've purchased 2 computer tech books written by Indian author. Both of their contents have problems. This is the 2nd one. Like another commenter said, its content seems like to be copied from the author's blog articles.From these two book's impression to me, you should be wary of Indian authors of computer tech books. And I've also purchased an Iranian author's computer tech book, I'm also disappointed.So be wary of Indian & Iranian authors!

Michael Sprayberry May 11, 2019

Again Packt publishing is letting me down. This book offers little more than what can be found online in blog posts. Save your dollars this is just nickel and dime offerings.

see-rose Feb 03, 2020

I bought this book to learn basic tools and techniques of image (pre)processing, and at the same time learning to do it with Python.First: the book delivers both, an overview over the basic techniques using for image processing, enhancement and manipulation; and a lot of code blocks to do this.BUT: it's probably not worth spending money on that book. Rather find relevant code in the internet, and most probably even better code examples and by far better documented and explained.This book in most parts is no more than a printout of collected Python code. And even not the best one, using partly deprecated functions.Moreover, the code blocks (delivered in jupyter notebooks) are inconsistently written, so some errors have to be found and corrected by the user (as an excersise?). Most of all, the code is very very poorly explained and commented, the author leaves it to the reader to find out what is going on. So for the more complicated tasks / programming examples the marooned reader may decide by himself if it's worth the effort to understand the idea of the code or to skip it.But the critics is not the bad and poorly commented code but the sparse and missing explanations of what is done for image processing, and why. Presenting a technique (a filter, a function, ...) by showing just an example is in no way an explanation of how image processing should be done, or even what the tool itself really does. Besides the general explanation and discussion (! there are a lot of sentences "... as will be discussed in a later section", but there simply is no discussion) I missed detailed explanations of the code - e.g. why the parameters where chosen as they were implemented in the code, what the purpose and effect of these parameters is, some mathematical background, and I absolutely missed the discussion of when the presented tool should be used outsided the classroom. Instead, the author leaves it to the reader to find out which tool fits to her own usecase and how to tune the parameters in a useful way. That's not a textbook to learn and understand the basics and make the reader ready to apply the newly gained knowlegde to the real world.All in all I got the impression of a sloppy collection of sometimes confusing, not stringent Python code with almost no code explanations. Poorly edited text connects the code blocks with meaningless comments. Besides having chapters and chapter numbers the text is completely unstructured and text blocks are not always ordered in a logical way. Poor review, but eventually a nice and well done layout makes the book nice to look at, at least (that would be worth two stars). Third star is just a half one for a quite comprehensive collection of Python code for image processing, that at least can give the reader some starting point to look for real explanations and useful disucssions in the internet.

Shivam Mittal May 23, 2023

The whole book was supposed to be colorful as it is an Image processing book. Instead, it's like the whole book is just photo copied and even the page quality is really bad

Hands-On Image Processing with Python: Expert techniques for advanced image analysis and effective interpretation of image data

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