Image Processing and Acquisition using Python

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 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

中文：

书名：Image Processing and Acquisition using Python

基于Python的图像处理与采集 为读者在图像获取和图像处理方面奠定了坚实的基础–第一批将这些主题整合在一起的书籍之一。通过提高读者对图像采集技术和相应图像处理的知识，该书将帮助他们更有效、更经济地进行实验，以及更准确地分析和测量。长期以来一直被认为是非程序员最容易学习的语言之一，在各种实际示例中都使用了它。

对于更有经验的读者来说，这本书的第一部分是一个复习课程，介绍了Python、Python模块、使用Python阅读和写入图像，以及对图像的介绍。第二部分讨论了图像处理的基础知识，包括使用过滤器的前后处理、分割、形态运算和测量。最后一部分描述了使用各种方式的图像采集，如X射线、CT、MRI、光学显微镜和电子显微镜。这些模式涵盖了目前学术界和工业界研究人员使用的大多数常见的图像获取方法。

Table of Contents

第一部分介绍使用Python进行图像和计算
第1章：Python简介
第2章使用Python模块进行计算
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
第九章图像测量

Part III Image Acquisition
第十章X射线和计算机断层摄影
第11章磁共振成像
第十二章光学显微镜
第十三章电子显微镜

附录A安装Python发行版
附录B使用MPI4Py进行并行编程
附录C ImageJ简介
附录D matBR和NumPy函数