Raspberry Pi image processing programming : develop real-life examples with Python, Pillow, and SciPy / Ashwin Pajankar.
By: Pajankar, Ashwin [author.].
Distributor: Apress, New York, NY : Distributed to the Book trade worldwide by Springer. ©2017Description: xix, 126 pages : illustrations (some color) ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781484227305.Subject(s): Image processing -- Digital techniques | Python (Computer program language) | Raspberry Pi (Computer) | Image processing -- Digital techniques | Python (Computer program language) | Raspberry Pi (Computer)Genre/Form: Print books.| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | TA1637 .P35 2017 (Browse shelf) | Available | AU00000000012441 |
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| TA1540 .S36 2016 Practical holography / | TA1632 .G66 2018 Digital image processing / | TA1634 .D63 2023 The birth of computer vision / | TA1637 .P35 2017 Raspberry Pi image processing programming : develop real-life examples with Python, Pillow, and SciPy / | TA1637 Q54 2010 Digital image processing : an algorithmic approach with MATLAB / | TA1637 .S66 2015 Image processing, analysis, and machine vision / | TA1637 .S6617 2011 Digital image processing / |
Includes index.
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.
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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.
Content provider: SpringerLink.