Image Processing and Acquisition using Python

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 effectively and cost efficiently as well as analyze and measure more accurately. Long recognized as one of the easiest languages for non-programmers to learn, Python is used in a variety of practical examples.

A refresher for more experienced readers, the first part of the book presents an introduction to Python, Python modules, reading and writing images using Python, and an introduction to images. The second part discusses the basics of image processing, including pre/post processing using filters, segmentation, morphological operations, and measurements. The last part describes image acquisition using various modalities, such as x-ray, CT, MRI, light microscopy, and electron microscopy. These modalities encompass most of the common image acquisition methods currently used by researchers in academia and industry.

Table of Contents

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 MATLABR and Numpy Functions