Image Processing and Acquisition using Python
Autor Ravishankar Chityala, Sridevi Pudipeddien Limba Engleză Hardback – iul 2020
Preț: 492.14 lei
Preț vechi: 881.18 lei
-44%
94.29€ • 102.13$ • 80.86£
Carte indisponibilă temporar
Specificații
ISBN-10: 0367198088
Pagini: 452
Ilustrații: 143 Illustrations, black and white
Dimensiuni: 161 x 241 x 31 mm
Greutate: 0.88 kg
Ediția:Nouă
Editura: CRC Press
Descriere
Image Processing and Acquisition using Python, Second Edition provides readers with a sound foundation in both image acquisition and image processing--one of the first books to integrate these topics. 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 second 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.
Features
- Covers both the physical methods of obtaining images and the analytical processing methods required to understand the science behind the images.
- Contains many examples, detailed derivations, and working Python examples of the techniques.
- Offers practical tips on image acquisition and processing.
- Includes numerous exercises to test reader skills in Python programming and image processing, with solutions to selected problems, example programs, and images available on the book's CRC Press web page.
New to this edition
- Machine learning has become an indispensable part of image processing and computer vision, so in this new edition two new chapters are included: one on neural networks and the other on convolutional neural networks.
- A new chapter on affine transform and many new algorithms.
- Updated Python code aligned to the latest version of modules.
Notă biografică
Sridevi Pudipeddi, Ph.D. has eleven years of experience teaching undergraduate courses. She teaches Machine Learning with Python and Python for Data Analysis at the University of California Berkeley at San Francisco campus. Dr. Pudipeddi's research interests are in machine learning, applied mathematics and image and text processing. Python's simple syntax and its vast image processing capabilities, along with the need to understand and quantify important experimental information through image acquisition, have inspired her to co-author this book. Dr. Pudipeddi co authored Essential Python (Essential Education, California, 2018).