Processing ......
Links to Free Computer, Mathematics, Technical Books all over the World
Principles of Computerized Tomographic Imaging
🌠 Top Free C++ Books - 100% Free or Open Source!
  • Title: Principles of Computerized Tomographic Imaging
  • Author(s) Avinash C. Kak, Malcolm Slaney
  • Publisher: Society for Industrial and Applied Mathematics (July 1, 2001)
  • Paperback: 327 pages
  • eBook: PDF
  • Language: English
  • ISBN-10: 089871494X
  • ISBN-13: 978-0898714944
  • Share This:  

Book Description

Principles of Computerized Tomographic Imaging provides a comprehensive, tutorial-style introduction to the algorithms for reconstructing cross-sectional images from projection data and contains a complete overview of the engineering and signal processing algorithms necessary for tomographic imaging.

In addition to the purely mathematical and algorithmic aspects of these algorithms, the book also discusses the artifacts caused by the nature of the various forms of energy sources that can be used for generating the projection data. Kak and Slaney go beyond theory, emphasizing real-world applications and detailing the steps necessary for building a tomographic system. Since the fundamental aspects of tomographic reconstruction algorithms have remained virtually the same since this book was originally published, it is just as useful today as it was in 1987.

About the Authors
  • Avinash C. Kak is a Professor of Electrical and Computer Engineering at Purdue University, West Lafayette, Indiana. His current research interests include computer vision, video and image processing, and object-oriented programming. He is the coauthor of Digital Picture Processing (1982).
  • Malcolm Slaney is a Research Staff Member at the IBM Almaden Research Center, San Jose, California. His current research interests include audio and video signals manipulation, auditory perception, and machine learning.
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • Genetic and Evolutionary Computation for Image Processing

    Image analysis and processing is steadily gaining relevance within the large number of application fields to which genetic and evolutionary computation (GEC) techniques are applied. This book is the first attempt to offer a panoramic view on the field.

  • Image Processing in C, 2nd Edition (Dwayne Philipps)

    This book is a tutorial on image processing. Each chapter explains basic concepts with words and figures, shows image processing results with photographs, and implements the operations in C.

  • Introduction to Programming for Image Analysis with VTK

    Provide sufficient introductory material for engineering graduate students with background in programming in C and C++ to acquire the skills to leverage modern open source toolkits in medical image analysis and visualization.

  • Natural Image Statistics in Digital Image Forensics (Siwei Lyu)

    This book provides the first general framework, based on universal statistical properties of natural images, of detecting tampering and authenticating digital images that has been successfully applied to three problems in digital image forensics.

  • Document Image Analysis (Rangachar Kasturi)

    This book describes some of the technical methods and systems used for document processing of text and graphics images. The methods have grown out of the fields of digital signal processing, digital image processing, and pattern recognition.

Book Categories
Other Categories
Resources and Links