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Ashwin Pajankar
Raspberry Pi Image Processing Programming
Develop Real-Life Examples with Python, Pillow, and SciPy
1st ed. 2017. xix, 126 S. 17 SW-Abb., 53 Farbabb. 235 mm
Verlag/Jahr: SPRINGER, BERLIN; APRESS 2017
ISBN: 1-484-22730-1 (1484227301)
Neue ISBN: 978-1-484-22730-5 (9781484227305)
Preis und Lieferzeit: Bitte klicken
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.
What You´ll Learn
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
Who This Book Is For
Raspberry Pi and IoT enthusiasts, digital image processing enthusiasts, Python and Open Source enthusiasts and professionals
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
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.