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Chityala R., Pudipeddi S. Image Processing and Acquisition using Python

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Chityala R., Pudipeddi S. Image Processing and Acquisition using Python
Boca Raton: CRC Press, 2014. - 388 p.
This is a book that every imaging scientist should have on his or her desk because image acquisition and processing is becoming a standard method for qualifying and quantifying experimental measurements. Moreover, I believe students and researchers need a course or a book to learn both image acquisition and image processing using a single source, and this book, as a well-rounded introduction to both topics, serves that purpose very well. The topics treated are complex, but the authors have done a great job of covering the most commonly used image acquisition modalities, such as x-ray and computed tomography, magnetic resonance imaging, and microscopes, concisely and effectively, providing a handy compendium of the most useful information.
In summary, the strengths of the book are:
1. It teaches image processing using Python, one of the easiest and most powerful programming languages
2. It covers commonly used image acquisition and processing techniques
3. It cements readers' understanding with numerous clear examples.
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