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Raspberry Pi Image Processing Programming : Develop Real-Life Examples with Python, Pillow, and SciPy / by Ashwin Pajankar

Von: Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: SpringerLink BücherVerlag: Berkeley, CA : Apress, 2017Beschreibung: Online-Ressource (XIX, 126 p. 70 illus., 53 illus. in color, online resource)ISBN:
  • 9781484227312
Schlagwörter: Andere physische Formen: 9781484227305 | Erscheint auch als: 978-1-4842-2730-5 Druck-AusgabeDDC-Klassifikation:
  • 006
  • 006.3 23
RVK: RVK: ST 160 | ST 250LOC-Klassifikation:
  • QA75.5-76.95
DOI: DOI: 10.1007/978-1-4842-2731-2Online-Ressourcen: Zusammenfassung: 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 webcamZusammenfassung: 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 MatplotlibPPN: PPN: 1657609618Package identifier: Produktsigel: ZDB-2-CWD | ZDB-2-SEB | ZDB-2-SXPC
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