Python 3 Image Processing: Learn Image Processing with Python 3, NumPy, Matplotlib, and Scikit-image

DESCRIPTION

The book has beenÊwritten in such a way that the concepts are explained in detail, givingÊadequate emphasis on code examples. To make the topics more comprehensive, screenshotsÊand code samples are furnished extensively throughout the book. The book isÊconceptualized and written in such a wayÊthat the beginner readers will findÊit very easy to understand the concepts and implement the programs.

The book also featuresÊthe most current version of Raspberry Pi and associated software with it. ThisÊbook teaches novice beginners how to write interesting image processingÊprograms with scientific Python ecosystem. The book will also be helpful toÊexperienced professionals to make transition toÊrewarding careers inÊscientific Python and computer vision.Ê

KEY FEATURES

Comprehensive coverage of various aspects ofÊscientific Python and concepts in image processing.

Covers various additional topics such as RaspberryÊPi, conda package manager, and Anaconda distribution of Python.

Simple language, crystal clear approach, and straightÊforward comprehensible presentation of concepts followed by code examples andÊoutput screenshots.

Adopting user-friendly style for explanation ofÊcode examples.

WHAT WILL YOU LEARN

Raspberry Pi, Python 3 Basics

Scientific Python Ecosystem

NumPy and Matplotlib

Visualization withÊMatplotlib

ÊBasic NumPy, Advanced Image Processing with NumPy andÊMatplotlib

Getting started with scikit-image

Thresholding, Histogram Equalization, andÊTransformations

Kernels, Convolution, and Filters

Morphological Operations and Image Restoration

Noise Removal and Edge Detection

Advanced Image Processing Operations

WHO THIS BOOK IS FOR

StudentsÊpursuing BE/BSc/ME/MSc/BTech/MTech in Computer Science, Electronics,ÊElectrical, and Mathematics

PythonÊenthusiasts

ComputerÊVision and Image Processing professionals

AnyoneÊfond of tinkering with Raspberry Pi

ResearchersÊin Computer VisionÊ

Table of Contents

1. Concepts in Image Processing

2. Installing Python 3 on Windows

3.Introduction to Raspberry Pi

4. Python 3 Basics

5. Introduction to the Scientific Python Ecosystem

6. Introduction to NumPy and Matplotlib

7. Visualization with Matplotlib

8.Basic Image Processing with NumPy and Matplotlib

9. Advanced Image Processing with NumPy and Matplotlib

10. Getting Started with Scikit-Image

11. Thresholding Histogram Equalization and Transformations

12. Kernels, Convolution and Filters

13. Morphological Operations and Image Restoration

14. Noise Removal and Edge Detection

15. Advanced Image Processing Operations

16. Wrapping Up