Image Processing and Acquisition using Python Ravishankar Chityala is a textbook that provides a fundamental insight into image acquisition and image processing. This practical reference work supports researchers and professionals in improving experimental techniques and analyses by integrating physical imaging and associated processing.
Description
The book covers the basic principles of image processing and image acquisition with Python, including modules for image manipulation, filters, segmentation, and morphological operations. It also discusses various acquisition methods, such as x-ray, CT, MRI, and diverse microscopy techniques. The combination of theory with executable Python examples makes it suitable for both beginners and advanced users.
Key features
- Covers both the physical aspects of imaging and analytical processing methods.
- Includes extensive examples and exercises with solution options.
- Adds new chapters on neural networks, convolutional neural networks, and affine transformations.
- Includes updated Python codes tailored to recent software versions.
Product details
- Author: Ravishankar Chityala (University of Minnesota, Minneapolis, USA)
- Publisher: Taylor & Francis Ltd
- Imprint: Chapman & Hall/CRC
- Publication date: 2022-04-29
- Number of pages: 452
- ISBN: 9780367531577
- Subject: Image processing
- BISAC: COMPUTERS / Image Processing
About the author
Ravishankar Chityala, Ph.D., is Principal Engineer at IonPath and has more than eighteen years of experience in image processing. He teaches Python programming and deep learning at the University of California Santa Cruz, Silicon Valley Campus. Previously, he was a consultant for the Minnesota Supercomputing Institute and has supported various scientific disciplines with image processing-related questions.