Book description
Image Processing and Acquisition using Python provides readers with a sound foundation in both image acquisition and image processing-one of the first books to integrate these topics together. By improving readers' knowledge of image acquisition techniques and corresponding image processing, the book will help them perform experiments more effectiv
Table of contents
- Preliminaries
- Series
- Dedication
- Foreword
- Preface
- Introduction
- About the Authors
- List of Symbols and Abbreviations
-
Part I: Introduction to Images and Computing using Python
- Chapter 1: Introduction to Python
- Chapter 2: Computing using Python Modules
- Chapter 3: Image and its Properties
-
Part II: Image Processing using Python
- Chapter 4: Spatial Filters
- Chapter 5: Image Enhancement
- Chapter 6: Fourier Transform
- Chapter 7: Segmentation
- Chapter 8: Morphological Operations
- Chapter 9: Image Measurements
-
Part III: Image Acquisition
- Chapter 10: X-Ray and Computed Tomography
- Chapter 11: Magnetic Resonance Imaging
- Chapter 12: Light Microscopes
- Chapter 13: Electron Microscopes
- Appendix A: Installing Python Distributions
- Appendix B: Parallel Programming Using MPI4Py
- Appendix C: Introduction to ImageJ
- Appendix D: MATLAB® and Numpy Functions
- Bibliography
Product information
- Title: Image Processing and Acquisition using Python
- Author(s):
- Release date: February 2014
- Publisher(s): Chapman and Hall/CRC
- ISBN: 9781498760577
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