Python 3 Image Processing

Python 3 Image Processing

Author: Ashwin Pajankar
Rs. 360 Rs. 324 Save 10%

  • ISBN: 9789388511728
  • Pages: 185
  • Weight: 283gm
  • Dimension: 23x15x1cm
  • Edition: ist/2019 Paperback
    
DESCRIPTION 
Learn Image Processing with Python 3, NumPy, Matplotlib, and Scikit-image
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 the transition to rewarding careers in scientific Python and computer vision. 
    
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 an explanation of code examples.
·       CD contains [at1] [A2] image dataset as well as code examples in the form of Jupyter notebooks.   
 
WHAT WILL YOU LEARN 
·      Introduction to Raspberry Pi
·      Python 3 Basics
·      Introduction to the Scientific Python Ecosystem
·      Introduction to NumPy and Matplotlib
·      Visualization with Matplotlib
·      Basic NumPy 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

WHO THIS BOOK IS FOR
1)     Students pursuing BE/BSc/ME/MSc/BTech/MTech in Computer Science, Electronics, Electrical, and Mathematics
2)     Python enthusiasts
3)     Computer Vision and Image Processing professionals
4)     Anyone fond of tinkering with Raspberry Pi
5)     Researchers in Computer Vision    
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.
 
Ashwin is also an online trainer with various eLearning platforms like BPBOnline, Udemy, and Skillshare. In his free time, he consults on the topics of Python programming and data science to the local software companies in the city of Nasik. He is actively involved in various social initiatives and has won many accolades during his student life and at his past workplaces.
Book Title Python 3 Image Processing
Type Book
Date Published Jun 13, 2019

  • ISBN: 9789388511728
  • Pages: 185
  • Weight: 283gm
  • Dimension: 23x15x1cm
  • Edition: ist/2019 Paperback
    
DESCRIPTION 
Learn Image Processing with Python 3, NumPy, Matplotlib, and Scikit-image
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 the transition to rewarding careers in scientific Python and computer vision. 
    
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 an explanation of code examples.
·       CD contains [at1] [A2] image dataset as well as code examples in the form of Jupyter notebooks.   
 
WHAT WILL YOU LEARN 
·      Introduction to Raspberry Pi
·      Python 3 Basics
·      Introduction to the Scientific Python Ecosystem
·      Introduction to NumPy and Matplotlib
·      Visualization with Matplotlib
·      Basic NumPy 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

WHO THIS BOOK IS FOR
1)     Students pursuing BE/BSc/ME/MSc/BTech/MTech in Computer Science, Electronics, Electrical, and Mathematics
2)     Python enthusiasts
3)     Computer Vision and Image Processing professionals
4)     Anyone fond of tinkering with Raspberry Pi
5)     Researchers in Computer Vision    
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.
 
Ashwin is also an online trainer with various eLearning platforms like BPBOnline, Udemy, and Skillshare. In his free time, he consults on the topics of Python programming and data science to the local software companies in the city of Nasik. He is actively involved in various social initiatives and has won many accolades during his student life and at his past workplaces.