Image Processing and Acquisition Using Python
暫譯: 使用 Python 進行影像處理與擷取

Chityala, Ravishankar, Pudipeddi, Sridevi

Image Processing and Acquisition Using Python
  • 出版商: CRC
  • 出版日期: 2022-04-29
  • 售價: $2,400
  • 貴賓價: 9.5 折 $2,280
  • 語言: 英文
  • 頁數: 452
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367531577
  • ISBN-13: 9780367531577
  • 相關分類: Python、程式語言

    • 海外代購書籍(需單獨結帳)

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商品描述

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 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 the reader's skills in Python programming and image processing, with solutions to selected problems, example programs, and images available on the book's 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.

商品描述(中文翻譯)

使用 Python 進行影像處理與擷取 為讀者提供了影像擷取和影像處理的堅實基礎——這是第一本將這些主題整合在一起的書籍之一。通過提升讀者對影像擷取技術及相應影像處理的知識，本書將幫助他們更有效且具成本效益地進行實驗，並更準確地分析和測量。Python 長期以來被認為是非程式設計師最容易學習的語言之一，並在各種實用範例中使用。

本書的第一部分為經驗較豐富的讀者提供了 Python 的介紹、Python 模組、使用 Python 讀取和寫入影像，以及影像的介紹。第二部分討論了影像處理的基本概念，包括使用濾波器的前處理/後處理、分割、形態學操作和測量。第二部分描述了使用各種模式進行影像擷取，例如 X 光、CT、MRI、光學顯微鏡和電子顯微鏡。這些模式涵蓋了目前學術界和工業界研究人員使用的大多數常見影像擷取方法。

特點

- 涵蓋獲取影像的物理方法以及理解影像背後科學所需的分析處理方法。
- 包含許多範例、詳細的推導以及可運行的 Python 技術範例。
- 提供影像擷取和處理的實用建議。
- 包括大量練習題以測試讀者在 Python 程式設計和影像處理方面的技能，並提供選定問題的解答、範例程式和可在書籍網頁上獲得的影像。

本版新內容

- 機器學習已成為影像處理和計算機視覺不可或缺的一部分，因此在這一新版中新增了兩個章節：一個關於神經網絡，另一個關於卷積神經網絡。
- 新增了一個關於仿射變換的章節以及許多新算法。
- 更新了與最新版本模組對齊的 Python 代碼。

作者簡介

Ravishankar Chityala, Ph.D. is Principal Engineer at IonPath, with eighteen years of experience in image processing. He teaches Python programming and Deep learning using Tensorow at the University of California Santa Cruz, Silicon Valley Campus. Previously, he worked as an image processing consultant at the Minnesota Supercomputing Institute of the University of Minnesota. As an image processing consultant, Dr. Chityala had worked with faculty, students and staff from various departments in the scientific, engineering and medical fields at the University of Minnesota, and his interaction with students had made him aware of their need for greater understanding of and ability to work with image processing and acquisition. Dr. Chityala co-authored Essential Python (Essential Education, California, 2018), also contributed to the writing of Handbook of Physics in Medicine and Biology(CRC Press, Boca Raton, 2009, Robert Splinter). His research interests include image processing, machine learning and deep learning.

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).

作者簡介(中文翻譯)

拉維尚卡·奇提亞拉（Ravishankar Chityala），博士，是IonPath的首席工程師，擁有十八年的影像處理經驗。他在加州大學聖克魯斯分校（University of California Santa Cruz）矽谷校區教授Python程式設計和使用TensorFlow的深度學習。之前，他曾在明尼蘇達大學的明尼蘇達超級計算研究所擔任影像處理顧問。作為影像處理顧問，奇提亞拉博士曾與明尼蘇達大學各個科系的教職員、學生和工作人員合作，涵蓋科學、工程和醫學領域，他與學生的互動使他意識到他們對影像處理和獲取的理解及操作能力的需求。奇提亞拉博士共同撰寫了Essential Python（Essential Education，加州，2018年），並參與撰寫了《醫學與生物物理學手冊》（Handbook of Physics in Medicine and Biology，CRC Press，博卡拉頓，2009年，羅伯特·斯普林特）。他的研究興趣包括影像處理、機器學習和深度學習。

斯里德維·普迪佩迪（Sridevi Pudipeddi），博士，擁有十一年的本科課程教學經驗。她在加州大學伯克利分校（University of California Berkeley）舊金山校區教授使用Python的機器學習和數據分析的Python。普迪佩迪博士的研究興趣包括機器學習、應用數學以及影像和文本處理。Python簡單的語法及其強大的影像處理能力，加上理解和量化重要實驗信息的需求，激勵她共同撰寫本書。普迪佩迪博士共同撰寫了Essential Python（Essential Education，加州，2018年）。

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