Raspberry Pi Image Processing Programming
Apress (Verlag)
978-1-4842-2730-5 (ISBN)
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Write your own Digital Image Processing programs with the use of pillow, scipy.ndimage, and matplotlib in Python 3 with Raspberry Pi 3 as the hardware platform.
This concise quick-start guide provides working code examples and exercises. Learn how to interface Raspberry Pi with various image sensors.
- Understand Raspberry Pi concepts and setup
- Understand digital image processing concepts
- Study pillow, the friendly PIL fork
- Explore scipy.ndimage and matplotlib
- Master use of the Pi camera and webcam
Ashwin Pajankar is a Programmer, a Maker, an Author, a Youtuber, and an Educator with more than 10 years' experience in software design, development, testing, and automation. He graduated from the coveted IIIT Hyderabad, earning an M.Tech in computer science and engineering. He holds multiple professional certifications from Oracle, IBM, Teradata, and ISTQB in development, databases, and testing. He has won several awards in college through outreach initiatives, at work for technical achievements, and community service through corporate social responsibility programs.
Raspberry Pi Digital Image Processing Programming
Part I: Raspberry Pi and pillow
Chapter 1: Getting Started
*Single Board Computers
*History of Single board computers
*Raspberry Pi 3 Setup
*Connecting Raspberry Pi to internet
*Introduction to Raspbian
Chapter 2: Python and Digital Image Processing
*Introduction to Python
*Python 2 vs Python 3
*Why Python 3
*Various Python Editors
*Concept of Digital Signal and Image Processing
Chapter 3: PIL, pillow, matplotlib, images, and cameras
*Introduction to PIL
*Why one should not use PIL
*Introduction to pillow
*Installation of pillow
*Installation of matplotlib
*Working with images and various cameras
Chapter 4: Basic Image processing operations
*Concepts related to Images
* Cutting, copying, and pasting images
*Image Channels
*Calculating Histograms
*Arithmetic and logical operations on image
Chapter 5: Advanced Pillow
*Image enhancements
*Image filtering
*Colorspace conversion
Part II: Scientific Image Processing with Python 3
Chapter 6: Introduction to numpy and scipy
*Installation of Numpy and Scipy
*Introduction to scipy.misc
*Images in Numpy
Chapter 7: Basic Image processing with scipy.ndimage
*Image transformations"
*Measurements
Chapter 8: Advance topics
*Morphology
*Filters
Chapter 9: Advanced Matplotlib
*Detailed explanation of interpolation modes
*Basic image processing with matplotlib alone
Erscheinungsdatum | 07.04.2017 |
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Zusatzinfo | 17 black & white illustrations, 53 colour illustrations, biography |
Verlagsort | Berkley |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 238 g |
Einbandart | kartoniert |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Programmiersprachen / -werkzeuge ► Python | |
Mathematik / Informatik ► Informatik ► Software Entwicklung | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Informatik ► Weitere Themen ► Hardware | |
Schlagworte | Digital Image Processing • Python 3 • Raspberry Pi 3; Spezielle Anwendungsbereiche |
ISBN-10 | 1-4842-2730-1 / 1484227301 |
ISBN-13 | 978-1-4842-2730-5 / 9781484227305 |
Zustand | Neuware |
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