Raspberry Pi Image Processing Programming

With NumPy, SciPy, Matplotlib, and OpenCV de

Éditeur :

Apress


Paru le : 2022-08-01

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Description

Understand the concepts of image processing with Python 3 and create applications using Raspberry Pi 4. This book covers image processing with the latest release of Python 3, using Raspberry Pi OS and Raspberry Pi 4B with the 8 GB RAM model as the preferred computing platform.


This second edition begins with the installation of Raspberry Pi OS on the latest model of Raspberry Pi and then introduces Python programming language, IDEs for Python, and digital image processing. It also illustrates the theoretical foundations of Image processing followed by advanced operations in image processing. You'll then review image processing with NumPy, and Matplotlib followed by transformations, interpolation, and measurements of images. 


Different types of filters such as Kernels convolution filters, low pass filters, high pass filters, and Fourier filters are discussed in a clear, methodical manner. Additionally, the book examines variousimage processing techniques such as Morphology, Thresholding, and Segmentation, followed by a chapter on live webcam input with OpenCV, an image processing library with Python. The book concludes with an appendix covering a new library for image processing with Python, pgmagik, followed by a few important tips and tricks relevant to RPi.


What You'll Learn

Get started with Raspberry Pi and PythonUnderstand Image Processing with PillowSee how image processing is processed using Numpy and MatplotlibUse Pi camera and webcam
Who This Book Is For


Raspberry Pi and IoT enthusiasts, and Python and Open Source professionals 



Pages
245 pages
Collection
n.c
Parution
2022-08-01
Marque
Apress
EAN papier
9781484282694
EAN PDF
9781484282700

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
8376 Ko
Prix
56,19 €
EAN EPUB
9781484282700

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
20460 Ko
Prix
56,19 €

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