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

Pajankar, Ashwin

Softcover

ISBN 10: 9388511727 ISBN 13: 9789388511728

Publisher: BPB PUBLICATIONS, 2019

Synopsis

Gain a working knowledge of practical image processing and with scikit-image.

Key Features

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

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

Simple language, crystal clear approach, and straight forward comprehensible presentation of concepts followed by code examples and output screenshots.

Adopting user-friendly style for explanation of code examples.

Description
The book has been written in such a way that the concepts are explained in detail, giving adequate emphasis on code examples. To make the topics more comprehensive, screenshots and code samples are furnished extensively throughout the book. The book is conceptualized and written in such a way that the beginner readers will find it very easy to understand the concepts and implement the programs.
The book also features the most current version of Raspberry Pi and associated software with it. This book teaches novice beginners how to write interesting image processing programs with scientific Python ecosystem. The book will also be helpful to experienced professionals to make transition to rewarding careers in scientific Python and computer vision.

What Will You Learn

Raspberry Pi, Python 3 Basics

Scientific Python Ecosystem

NumPy and Matplotlib

Visualization with Matplotlib

Basic NumPy, Advanced Image Processing with NumPy and Matplotlib

Getting started with scikit-image

Thresholding, Histogram Equalization, and Transformations

Kernels, Convolution, and Filters

Morphological Operations and Image Restoration

Noise Removal and Edge Detection

Advanced Image Processing Operations

Who This Book Is For

Students pursuing BE/BSc/ME/MSc/BTech/MTech in Computer Science, Electronics, Electrical, and Mathematics

Python enthusiasts

Computer Vision and Image Processing professionals

Anyone fond of tinkering with Raspberry Pi

Researchers in Computer Vision

Table of Contents

Concepts in Image Processing

Installing Python 3 on Windows

Introduction to Raspberry Pi

Python 3 Basics

Introduction to the Scientific Python Ecosystem

Introduction to NumPy and Matplotlib

Visualization with Matplotlib

Basic Image Processing with NumPy and Matplotlib

Advanced Image Processing with NumPy and Matplotlib

Getting Started with Scikit-Image

Thresholding Histogram Equalization and Transformations

Kernels, Convolution and Filters

Morphological Operations and Image Restoration

Noise Removal and Edge Detection

Advanced Image Processing Operations

Wrapping Up

About the Author
ASHWIN PAJANKAR is a polymath. He has more than two decades of programming experience. He is a Science Popularizer, a Programmer, a Maker, an Author, and a Youtuber. He is passionate about STEM .
(Science-Technology-Education-Mathematics) education. He is also a freelance software developer and technology trainer. He graduated from IIIT Hyderabad with M.Tech. in Computer Science and Engineering. He has worked in a few multinational corporations including Cisco Systems and Cognizant for more than a decade.

About this title

About the Author

ASHWIN PAJANKAR is a polymath. He has more than two decades of programming experience. He is a Science Popularizer, a Programmer, a Maker, an Author, and a Youtuber. He is passionate about STEM . (Science-Technology-Education-Mathematics) education. He is also a freelance software developer and technology trainer. He graduated from IIIT Hyderabad with M.Tech. in Computer Science and Engineering. He has worked in a few multinational corporations including Cisco Systems and Cognizant for more than a decade.

Edition details

• Publisher: BPB PUBLICATIONS
• Publication date: 2019
• Language: English
• ISBN 10: 9388511727
• ISBN 13: 9789388511728
• Binding: Paperback
• Number of pages: 187