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Raspberry Pi Image Processing Programming = With NumPy, SciPy, Matplotlib, and OpenCV /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Raspberry Pi Image Processing Programming/ by Ashwin Pajankar.
Reminder of title:	With NumPy, SciPy, Matplotlib, and OpenCV /
Author:	Pajankar, Ashwin.
Description:	XVIII, 245 p. 112 illus., 1 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Machine learning. -
Online resource:	https://doi.org/10.1007/978-1-4842-8270-0
ISBN:	9781484282700

Raspberry Pi Image Processing Programming = With NumPy, SciPy, Matplotlib, and OpenCV /
Pajankar, Ashwin.

Raspberry Pi Image Processing ProgrammingWith NumPy, SciPy, Matplotlib, and OpenCV /[electronic resource] :by Ashwin Pajankar. - 2nd ed. 2022. - XVIII, 245 p. 112 illus., 1 illus. in color.online resource.

Chapter 1: Introduction to Single Board Computers and RPi -- Chapter 2: Introduction to Python and Digital Image Processing -- Chapter 3: Getting Started with Image Processing -- Chapter 4: Basic Operations on Images -- Chapter 5: Advanced Operations on Images -- Chapter 6: Scientific Python -- Chapter 7: Transformations, Interpolation, and Measurements -- Chapter 8: Filters and their Application -- Chapter 9: Morphology, Thresholding, and Segmentation -- Chapter 10: pgmagik.

Understand the concepts of image processing with Python 3 and create applications using Raspberry Pi 4. This book covers image processing with the latest release of Python 3, using Raspberry Pi OS and Raspberry Pi 4B with the 8 GB RAM model as the preferred computing platform. This second edition begins with the installation of Raspberry Pi OS on the latest model of Raspberry Pi and then introduces Python programming language, IDEs for Python, and digital image processing. It also illustrates the theoretical foundations of Image processing followed by advanced operations in image processing. You'll then review image processing with NumPy, and Matplotlib followed by transformations, interpolation, and measurements of images. Different types of filters such as Kernels convolution filters, low pass filters, high pass filters, and Fourier filters are discussed in a clear, methodical manner. Additionally, the book examines various image processing techniques such as Morphology, Thresholding, and Segmentation, followed by a chapter on live webcam input with OpenCV, an image processing library with Python. The book concludes with an appendix covering a new library for image processing with Python, pgmagik, followed by a few important tips and tricks relevant to RPi.

ISBN: 9781484282700

Standard No.: 10.1007/978-1-4842-8270-0doiSubjects--Topical Terms:

561253
Machine learning.

LC Class. No.: Q325.5-.7

Dewey Class. No.: 006.31

Raspberry Pi Image Processing Programming = With NumPy, SciPy, Matplotlib, and OpenCV /
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