Raspberry Pi Image Processing Programming : develop real-life examples with python, pillow, and scipy / by Ashwin Pajankar.

By:

Pajankar, Ashwin

Material type: Text

TextPublisher: Berkeley, CA : Apress : Imprint: Apress , 2017Edition: 1st edDescription: xix,126p PB 23.5 cmContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781484227312

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:

004.69 1 PAJA

Contents:

Chapter 1: Getting Started -- Chapter 2: Python and Digital Image Processing -- Chapter 3: PIL, pillow, matplotlib, images, and cameras -- Chapter 4: Basic Image processing operations -- Chapter 5: Advanced Pillow -- Chapter 6: Introduction to numpy and scipy -- Chapter 7: Basic Image processing with scipy.ndimage -- Chapter 8: Advance topics -- Chapter 9: Advanced Matplotlib.

Summary: 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 Will 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.

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Item type	Current library	Collection	Call number	Status	Barcode
Book	St Aloysius Institute of Management & Information Technology	MCA	004.69 PAJA (Browse shelf(Opens below))	Available	MCA17086

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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. What You Will 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.

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