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

Table of Contents
About the Author
About the Technical Reviewer
Acknowledgments
Introduction
Chapter 1: Introduction to Single-Board Computers and Raspberry Pi
	Single-Board Computers (SBCs)
		Differences Between SBCs and Regular Computers
		System on Chips (SoCs)
		SoC versus Regular CPU
		History of SBCs
		Popular SBC Families
	The Raspberry Pi
	Raspberry Pi Setup
		Prepare the microSD Card
		Booting Up Raspberry Pi
		Accessing Raspberry Pi Remotely
		Configuring Raspberry Pi
	The Raspberry Pi OS
		The config.txt File
		Updating the RPi
			Updating the Firmware
			Updating and Upgrading Raspberry Pi OS
			Shutting Down and Restarting RPi
	Summary
Chapter 2: Introduction to Python and Digital Image Processing
	A Brief History of the Python Programming Language
	Features of Python
	Python 3
		Python 2 and Python 3 on Raspberry Pi OS
		Running a Python Program and Python Modes
			Interactive Mode
			Script Mode
	IDEs for Python
		IDLE
		Geany
		Thonny IDE
	Introduction to Digital Image Processing
		Signal Processing
		Image Processing
			Analog Image Processing
			Digital Image Processing
		Using Raspberry Pi and Python for Digital Image Processing (DIP)
	Exercise
	Summary
Chapter 3: Getting Started
	Image Sources
	Using a Webcam
		guvcview
		fswebcam
	The Pi Camera Module
		raspistill
	Python 3 for Digital Image Processing
		Working with Images
	Summary
Chapter 4: Basic Operations on Images
	Image Module
		Image Channels
		Colorspace Conversion
		Image Blending
		Resizing an Image
		Rotating an Image
		Crop and Paste Operations
		Copying and Saving Images to a File
		Knowing the Value of a Particular Pixel
		Mandelbrot Set
		Julia Set
		Noise and Gradients
	ImageChops Module
	ImageOps
	Summary
Chapter 5: Advanced Operations on Images
	ImageFilter Module
	The ImageEnhance Module
	Color Quantization
	Histograms and Equalization
		Histogram Equalization
	Summary
Chapter 6: Introduction to the Scientific Python Ecosystem
	The Scientific Python Ecosystem
	Simple Examples
	Matplotlib
		Image Channels
	Conversion Between PIL Image Objects and NumPy ndarrays
	Summary
Chapter 7: Transformations and Measurements
	Transformations
	Measurements
	Summary
Chapter 8: Filters
	Kernels, Convolution, and Correlation
	Low-Pass Filters
		Blurring
		Noise Reduction
	High-Pass Filters
	Fourier Filters
	Summary
Chapter 9: Morphology, Thresholding, and Segmentation
	Distance Transforms
	Morphology and Morphological Operations
		Structuring Element
		Binary Morphological Operations
		Grayscale Morphological Operations
	Thresholding and Segmentation
	Summary
Chapter 10: Video Processing
	Introduction to OpenCV Library
	Converting the Colorspace of Image
	Separating Color Channels in Live Webcam Stream
	More Operations on Live Webcam Stream
		Geometric Transformation
		Convolution
		Correlation
		Filtering
		Morphological Operations
	Summary
	Conclusion
Appendix
	pgmagick Image Processing
	Connecting a Display
		Using a VGA Display
		Booting Up After Connecting a Display
	Connecting to Ethernet/ Wired Network
	Remote Desktop with VNC
Index