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Raspberry Pi Image Processing Programming : With NumPy, SciPy, Matplotlib, and OpenCV - Ashwin Pajankar

Raspberry Pi Image Processing Programming

With NumPy, SciPy, Matplotlib, and OpenCV

By: Ashwin Pajankar

eText | 1 August 2022 | Edition Number 2

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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.

What You'll Learn

  • Get started with Raspberry Pi and Python
  • Understand Image Processing with Pillow
  • See how image processing is processed using Numpy and Matplotlib
  • Use Pi camera and webcam

Who This Book Is For

Raspberry Pi and IoT enthusiasts, and Python and Open Source professionals

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You Can Find This eBook In

Non-FictionComputing & I.T.Computer ScienceArtificial IntelligenceMachine LearningComputer HardwareComputer Programming & Software DevelopmentProgramming & Scripting LanguagesMathematicsProbability & StatisticsInformation Technology General Issue

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