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Hands-On Image Processing with Python : Expert Techniques for Advanced Image Analysis and Effective Interpretation of Image Data.

Author: Sandipan Dey
Publisher: Birmingham : Packt Publishing Ltd, 2018.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book covers how to use the image processing libraries in Python. It will enable you to write code snippets to implement complex image processing algorithms such as image enhancement, filtering, segmentation, object detection, and more. You will also be able to use machine learning and deep learning models and learn to implement them with ease.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Dey, Sandipan.
Hands-On Image Processing with Python : Expert Techniques for Advanced Image Analysis and Effective Interpretation of Image Data.
Birmingham : Packt Publishing Ltd, ©2018
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Sandipan Dey
ISBN: 9781789341850 178934185X
OCLC Number: 1079007988
Notes: Quantizing with PIL
Description: 1 online resource (481 pages)
Contents: Cover; Title Page; Copyright and Credits; Dedication; About Packt; Contributors; Table of Contents; Preface; Chapter 1: Getting Started with Image Processing; What is image processing and some applications; What is an image and how it is stored on a computer; What is image processing?; Some applications of image processing; The image processing pipeline; Setting up different image processing libraries in Python; Installing pip; Installing some image processing libraries in Python; Installing the Anaconda distribution; Installing Jupyter Notebook; Image I/O and display with Python Reading, saving, and displaying an image using PILProviding the correct path to the images on the disk; Reading, saving, and displaying an image using Matplotlib; Interpolating while displaying with Matplotlib imshow(); Reading, saving, and displaying an image using scikit-image; Using scikit-image's astronaut dataset; Reading and displaying multiple images at once; Reading, saving, and displaying an image using scipy misc; Using scipy.misc's face dataset; Dealing with different image types and file formats and performing basic image manipulations Inverse warping and geometric transformation using the warp() functionApplying the swirl transform; Adding random Gaussian noise to images; Computing the cumulative distribution function of an image ; Image manipulation with Matplotlib; Drawing contour lines for an image; Image manipulation with the scipy.misc and scipy.ndimage modules; Summary; Questions; Further reading; Chapter 2: Sampling, Fourier Transform, and Convolution; Image formation --
sampling and quantization; Sampling; Up-sampling; Up-sampling and interpolation ; Down-sampling; Down-sampling and anti-aliasing; Quantization

Abstract:

This book covers how to use the image processing libraries in Python. It will enable you to write code snippets to implement complex image processing algorithms such as image enhancement, filtering,  Read more...

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