BOOK SERIES


Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series


About the Series

This series aims to capture new developments and summarize what is known over the whole spectrum of mathematical and computational imaging sciences. It seeks to encourage the integration of mathematical, statistical, and computational methods in image acquisition and processing by publishing a broad range of textbooks, reference works, and handbooks. The titles included in the series are meant to appeal to students, researchers, and professionals in the mathematical, statistical, and computational sciences and application areas as well as interdisciplinary researchers involved in the field. The inclusion of concrete examples and applications and programming code and examples is highly encouraged.

7 Series Titles

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Rough Fuzzy Image Analysis: Foundations and Methodologies

Rough Fuzzy Image Analysis: Foundations and Methodologies

Forthcoming

Sankar K. Pal, James F. Peters
September 30, 2017

Fuzzy sets, near sets, and rough sets are useful and important stepping stones in a variety of approaches to image analysis. These three types of sets and their various hybridizations provide powerful frameworks for image analysis. Emphasizing the utility of fuzzy, near, and rough sets in image...

Geometric Modeling and Mesh Generation from Scanned Images

Geometric Modeling and Mesh Generation from Scanned Images

Yongjie Jessica Zhang
April 27, 2016

Cutting-Edge Techniques to Better Analyze and Predict Complex Physical Phenomena Geometric Modeling and Mesh Generation from Scanned Images shows how to integrate image processing, geometric modeling, and mesh generation with the finite element method (FEM) to solve problems in computational...

Variational Methods in Image Processing

Variational Methods in Image Processing

Luminita A. Vese, Carole Le Guyader
December 18, 2015

Variational Methods in Image Processing presents the principles, techniques, and applications of variational image processing. The text focuses on variational models, their corresponding Euler–Lagrange equations, and numerical implementations for image processing. It balances traditional...

Image Processing and Acquisition using Python

Image Processing and Acquisition using Python

Ravishankar Chityala, Sridevi Pudipeddi
February 19, 2014

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...

Image Processing for Cinema

Image Processing for Cinema

Marcelo Bertalmío
February 04, 2014

Image Processing for Cinema presents a detailed overview of image processing techniques that are used in practice in digital cinema. The book shows how image processing has become ubiquitous in movie-making, from shooting to exhibition. It covers all the ways in which image processing algorithms...

Statistical and Computational Methods in Brain Image Analysis

Statistical and Computational Methods in Brain Image Analysis

Moo K. Chung
July 23, 2013

The massive amount of nonstandard high-dimensional brain imaging data being generated is often difficult to analyze using current techniques. This challenge in brain image analysis requires new computational approaches and solutions. But none of the research papers or books in the field describe...

Theoretical Foundations of Digital Imaging Using MATLAB®

Theoretical Foundations of Digital Imaging Using MATLAB®

Leonid P. Yaroslavsky
November 26, 2012

With the ubiquitous use of digital imaging, a new profession has emerged: imaging engineering. Designed for newcomers to imaging science and engineering, Theoretical Foundations of Digital Imaging Using MATLAB® treats the theory of digital imaging as a specific branch of science. It covers the...

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