Name: Raspberry Pi Image Processing Programming: With Numpy, Scipy, Matplotlib, and Opencv
Brand: Apress
SKU: 320747410
Price: 35.58 GBP
Availability: InStock

Raspberry Pi Image Processing Programming

With Numpy, Scipy, Matplotlib, and Opencv

By Pajankar, Ashwin

Rating

Format

Paperback, 245 pages

Published

United States, 1 August 2022

Chapter 1: Introduction to Single Board Computers and RPi

Chapter Goal: Brief intro into SBCs and RPi

No of pages

Sub -Topics

1. SBCs

2. Raspberry Pi

3. Raspberry Pi Imager and setup

4. Configuring the Pi

Chapter 2: Introduction to Python and Digital Image Processing

Chapter Goal: Brief acquaintance with the subject of the book

No of pages:

Sub - Topics:

1. History of Python

2. Features

3. Installation of Python on Raspberry Pi

4. IDEs for Python

5. Digital Image Processing

Chapter 3: Getting Started with Image Processing

Chapter Goal: Getting to understand the basics

No of pages:

Sub - Topics:

1. Image Sources (Standard Image Datasets)

2. Various Cameras for RPi

3. Pillow Basics

4. Tk Basics

5. Reading and displaying images with Pillow and Tk

6. Image Properties

Chapter 4: Basic Operations on Images

Chapter Goal: Getting to know Pillow

No of pages:

Sub - Topics:

1. Image module

a) Image channels

b) Mode Conversion

c) Blending

d) Resizing

e) Rotation

f) Crop and paste

g) Alpha composition

h) Mandelbrot set

i) Noise and gradient

2. ImageChops module

3. ImageOps module

Chapter 5: Advanced Operations on Images

Chapter Goal: Filtering and Enhancements

1. Image filter (will cover more filters in the second edition)

2. Image enhancements (will cover additional effects)

3. Color quantization

4. Histogram and equalization

Chapter 6: Scientific Python

Chapter Goal: Introduction to the Scientific Python

1. The SciPy stack

2. NumPy, SciPy, and Matplotlib

3. Image Processing with NumPy and Matplotlib

Chapter 7: Transformations, Interpolation, and Measurements

Chapter Goal: Transformations and Measurements

1. Transformations and Interpolations

a) Affine_transform

b) Geometric_transform

c) Map_coordinates

d) Rotate

e) Shift

f) Spline_filter

g) Spline_filter1d

h) Zoom

2. Measurements

a) Center_of_mass

b) Extrema

c) Find_objects

d) Histogram

e) Label

f) Labeled_comprehension

g) Maximum

h) Maximum_position

i) Mean

j) Median

k) Minimum

l) Minimum_position

m) Standard_deviation

n) Sum_labels

o) Variance

p) Watershed_ift

Chapter 8: Filters and their Application

Chapter Goal: Study Various types of filters

1. Kernels, Convolution, Filters

2. Correlation

3. Low Pass Filters

a) Blurring Filter (Gaussian, Gaussian 1D, uniform, uniform 1D, percentile, rank)

b) Noise Removal (Gaussian, Median, Maximum, Minimum, rank)

4. High Pass filters

a) Prewitt

b) Sobel

c) Laplacian

d) Gaussian Gradient Magnitude

e) Gaussian Laplace

5. Fourier Filters

Chapter 9: Morphology, Thresholding, and Segmentation

Chapter Goal: Study operations

1. Morphology

a) Distance transform

b) Structuring Element (generate_binary_structure)

c) Binary Morphological Operations

d) Greyscale Morphological Operations

e) More Morphological Operations

2. Thresholding and Segmentation

Chapter 10: pgmagik

Chapter Goal: Learn pgmagic library in detail

1. Installation

2. Creating images

3. Draw text

4. Image filter and transformation

5. Bezier curve

6. Blob

7. Circle

8. Animation

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Product Description

Chapter 1: Introduction to Single Board Computers and RPi

Chapter Goal: Brief intro into SBCs and RPi

No of pages

Sub -Topics

1. SBCs

2. Raspberry Pi

3. Raspberry Pi Imager and setup

4. Configuring the Pi

Chapter 2: Introduction to Python and Digital Image Processing

Chapter Goal: Brief acquaintance with the subject of the book

No of pages:

Sub - Topics:

1. History of Python

2. Features

3. Installation of Python on Raspberry Pi

4. IDEs for Python

5. Digital Image Processing

Chapter 3: Getting Started with Image Processing

Chapter Goal: Getting to understand the basics

No of pages:

Sub - Topics:

1. Image Sources (Standard Image Datasets)

2. Various Cameras for RPi

3. Pillow Basics

4. Tk Basics

5. Reading and displaying images with Pillow and Tk

6. Image Properties

Chapter 4: Basic Operations on Images

Chapter Goal: Getting to know Pillow

No of pages:

Sub - Topics:

1. Image module

a) Image channels

b) Mode Conversion

c) Blending

d) Resizing

e) Rotation

f) Crop and paste

g) Alpha composition

h) Mandelbrot set

i) Noise and gradient

2. ImageChops module

3. ImageOps module

Chapter 5: Advanced Operations on Images

Chapter Goal: Filtering and Enhancements

1. Image filter (will cover more filters in the second edition)

2. Image enhancements (will cover additional effects)

3. Color quantization

4. Histogram and equalization

Chapter 6: Scientific Python

Chapter Goal: Introduction to the Scientific Python

1. The SciPy stack

2. NumPy, SciPy, and Matplotlib

3. Image Processing with NumPy and Matplotlib

Chapter 7: Transformations, Interpolation, and Measurements

Chapter Goal: Transformations and Measurements

1. Transformations and Interpolations

a) Affine_transform

b) Geometric_transform

c) Map_coordinates

d) Rotate

e) Shift

f) Spline_filter

g) Spline_filter1d

h) Zoom

2. Measurements

a) Center_of_mass

b) Extrema

c) Find_objects

d) Histogram

e) Label

f) Labeled_comprehension

g) Maximum

h) Maximum_position

i) Mean

j) Median

k) Minimum

l) Minimum_position

m) Standard_deviation

n) Sum_labels

o) Variance

p) Watershed_ift

Chapter 8: Filters and their Application

Chapter Goal: Study Various types of filters

1. Kernels, Convolution, Filters

2. Correlation

3. Low Pass Filters

a) Blurring Filter (Gaussian, Gaussian 1D, uniform, uniform 1D, percentile, rank)

b) Noise Removal (Gaussian, Median, Maximum, Minimum, rank)

4. High Pass filters

a) Prewitt

b) Sobel

c) Laplacian

d) Gaussian Gradient Magnitude

e) Gaussian Laplace

5. Fourier Filters

Chapter 9: Morphology, Thresholding, and Segmentation

Chapter Goal: Study operations

1. Morphology

a) Distance transform

b) Structuring Element (generate_binary_structure)

c) Binary Morphological Operations

d) Greyscale Morphological Operations

e) More Morphological Operations

2. Thresholding and Segmentation

Chapter 10: pgmagik

Chapter Goal: Learn pgmagic library in detail

1. Installation

2. Creating images

3. Draw text

4. Image filter and transformation

5. Bezier curve

6. Blob

7. Circle

8. Animation

EAN

9781484282694

ISBN

1484282698

Writer

Pajankar, Ashwin

Publisher

Apress

Other Information

Illustrated

Dimensions

23.4 x 15.6 x 1.4 centimeters (0.37 kg)

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.

About the Author

Ashwin Pajankar earned a Master of Technology in Computer Science Engineering from IIIT Hyderabad and has over 25 years of programming experience. He started his journey in programming and electronics at the tender age of 7 with a MS-DOS computer and BASIC programming language. He is now proficient in Assembly programming, C, C++, Java, Shell Scripting, JavaScript, Go Programming, HTML, and Python. His other technical expertise includes single board computers such as Raspberry Pi and Banana Pro, and microcontroller boards (Arduino), and embedded boards (BBC Micro Bit). He has worked extensively on domains such as Software/Product Testing, Software Automation, Databases, Data Analytics, Computer Vision, and Web Development.

Ashwin is currently a freelance online instructor teaching programming and electronics to more than 8200 professionals. He also regularly conducts live programming boot camps for software professionals. His growing Youtubechannel has an audience of more than 11000 subscribers. He has published more than 20 books on programming and electronics with many international publications, including Apress and regularly reviews books on programming written by other authors.

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About the Author