Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
---|---|---|---|---|---|
Searching... | 32050000000790 | TA1637 C45 2014 | Open Access Book | Book | Searching... |
Searching... | 30000010335123 | TA1637 C45 2014 | Open Access Book | Book | Searching... |
On Order
Summary
Summary
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
Introduction to Images and Computing using Python |
Introduction to Python |
Computing using Python modules |
Image and its properties |
Image Processing using Python |
Spatial Filters |
Image Enhancement |
Fourier Transform |
Segmentation |
Morphological Operations |
Image Measurements |
Image Acquisition |
X-ray and Computed Tomography |
Magnetic Resonance Imaging |
Light Microscopes |
Electron microscopes |
Appendices |
Index |