Raspberry Pi Image Processing Programming

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Details

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 Python
  • Understand Image Processing with Pillow
  • See how image processing is processed using Numpy and Matplotlib
  • Use Pi camera and webcam Who This Book Is For
    Raspberry Pi and IoT enthusiasts, and Python and Open Source professionals

    Covers all the libraries like Pillow, NumPy, Matplotlib, SciPy for image processing Covers webcam capture with OpenCV for live webcam image video processing Provides plenty of engaging and interactive Python 3 code examples that demonstrate the concepts learned

    Autorentext

    Ashwin Pajankar earned a Master of Technology in Computer Science Engineering from IIIT Hyderabad and has over 25 years of programming experience. He started his journey in programming and electronics at the tender age of 7 with a MS-DOS computer and BASIC programming language. He is now proficient in Assembly programming, C, C++, Java, Shell Scripting, JavaScript, Go Programming, HTML, and Python. His other technical expertise includes single board computers such as Raspberry Pi and Banana Pro, and microcontroller boards (Arduino), and embedded boards (BBC Micro Bit). He has worked extensively on domains such as Software/Product Testing, Software Automation, Databases, Data Analytics, Computer Vision, and Web Development.
    Ashwin is currently a freelance online instructor teaching programming and electronics to more than 8200 professionals. He also regularly conducts live programming boot camps for software professionals. His growing Youtubechannel has an audience of more than 11000 subscribers. He has published more than 20 books on programming and electronics with many international publications, including Apress and regularly reviews books on programming written by other authors.

    Inhalt
    Chapter 1: Introduction to Single Board Computers and RPi.- Chapter 2: Introduction to Python and Digital Image Processing.- Chapter 3: Getting Started with Image Processing.- Chapter 4: Basic Operations on Images.- Chapter 5: Advanced Operations on Images.- Chapter 6: Scientific Python.- Chapter 7: Transformations, Interpolation, and Measurements.- Chapter 8: Filters and their Application.- Chapter 9: Morphology, Thresholding, and Segmentation.- Chapter 10: pgmagik.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09781484282694
    • Genre Information Technology
    • Auflage 2nd edition
    • Lesemotiv Verstehen
    • Anzahl Seiten 264
    • Größe H235mm x B155mm x T15mm
    • Jahr 2022
    • EAN 9781484282694
    • Format Kartonierter Einband
    • ISBN 1484282698
    • Veröffentlichung 02.08.2022
    • Titel Raspberry Pi Image Processing Programming
    • Autor Ashwin Pajankar
    • Untertitel With NumPy, SciPy, Matplotlib, and OpenCV
    • Gewicht 406g
    • Herausgeber Apress
    • Sprache Englisch

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