A Concise Introduction to Image Processing using C++

A Concise Introduction to Image Processing using C++
Author: Meiqing Wang
Publisher: CRC Press
Total Pages: 264
Release: 2016-04-19
Genre: Computers
ISBN: 1584888989

Image recognition has become an increasingly dynamic field with new and emerging civil and military applications in security, exploration, and robotics. Written by experts in fractal-based image and video compression, A Concise Introduction to Image Processing using C++ strengthens your knowledge of fundamentals principles in image acquisition, con

PEM Fuel Cells

PEM Fuel Cells
Author: Jasna Jankovic
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 508
Release: 2023-05-22
Genre: Technology & Engineering
ISBN: 3110622726

This book is a comprehensive introduction to the rapidly developing field of modeling and characterization of PEM fuel cells. It focuses on i) fuel cell performance modeling and performance characterization applicable from single cells to stacks, ii) fundamental and advanced techniques for structural and compositional characterization of fuel cell components and iii) electrocatalyst design. Written by experts in this field, this book is an invaluable tool for graduate students and professionals.

Introduction to Image Processing Using R

Introduction to Image Processing Using R
Author: Alejandro C. Frery
Publisher: Springer Science & Business Media
Total Pages: 95
Release: 2013-02-01
Genre: Computers
ISBN: 1447149505

This book introduces the statistical software R to the image processing community in an intuitive and practical manner. R brings interesting statistical and graphical tools which are important and necessary for image processing techniques. Furthermore, it has been proved in the literature that R is among the most reliable, accurate and portable statistical software available. Both the theory and practice of R code concepts and techniques are presented and explained, and the reader is encouraged to try their own implementation to develop faster, optimized programs. Those who are new to the field of image processing and to R software will find this work a useful introduction. By reading the book alongside an active R session, the reader will experience an exciting journey of learning and programming.

Cloud Computing

Cloud Computing
Author: Frederic Magoules
Publisher: CRC Press
Total Pages: 231
Release: 2016-04-19
Genre: Computers
ISBN: 1466507837

As more and more data is generated at a faster-than-ever rate, processing large volumes of data is becoming a challenge for data analysis software. Addressing performance issues, Cloud Computing: Data-Intensive Computing and Scheduling explores the evolution of classical techniques and describes completely new methods and innovative algorithms. The

Numerical Techniques for Direct and Large-Eddy Simulations

Numerical Techniques for Direct and Large-Eddy Simulations
Author: Xi Jiang
Publisher: CRC Press
Total Pages: 284
Release: 2016-04-19
Genre: Mathematics
ISBN: 1420075799

Compared to the traditional modeling of computational fluid dynamics, direct numerical simulation (DNS) and large-eddy simulation (LES) provide a very detailed solution of the flow field by offering enhanced capability in predicting the unsteady features of the flow field. In many cases, DNS can obtain results that are impossible using any other me

Introduction to Video and Image Processing

Introduction to Video and Image Processing
Author: Thomas B. Moeslund
Publisher: Springer Science & Business Media
Total Pages: 228
Release: 2012-01-23
Genre: Computers
ISBN: 1447125029

This textbook presents the fundamental concepts and methods for understanding and working with images and video in an unique, easy-to-read style which ensures the material is accessible to a wide audience. Exploring more than just the basics of image processing, the text provides a specific focus on the practical design and implementation of real systems for processing video data. Features: includes more than 100 exercises, as well as C-code snippets of the key algorithms; covers topics on image acquisition, color images, point processing, neighborhood processing, morphology, BLOB analysis, segmentation in video, tracking, geometric transformation, and visual effects; requires only a minimal understanding of mathematics; presents two chapters dedicated to applications; provides a guide to defining suitable values for parameters in video and image processing systems, and to conversion between the RGB color representation and the HIS, HSV and YUV/YCbCr color representations.

Mathematical Objects in C++

Mathematical Objects in C++
Author: Yair Shapira
Publisher: CRC Press
Total Pages: 609
Release: 2009-06-19
Genre: Computers
ISBN: 9781439811481

Emphasizing the connection between mathematical objects and their practical C++ implementation, this book provides a comprehensive introduction to both the theory behind the objects and the C and C++ programming. Object-oriented implementation of three-dimensional meshes facilitates understanding of their mathematical nature. Requiring no prerequisites, the text covers discrete mathematics, data structures, and computational physics, including high-order discretization of nonlinear equations. Exercises and solutions make the book suitable for classroom use and a supporting website supplies downloadable code.

A Concise Introduction to Programming in Python

A Concise Introduction to Programming in Python
Author: Mark J. Johnson
Publisher: CRC Press
Total Pages: 321
Release: 2018-04-17
Genre: Computers
ISBN: 135162198X

A Concise Introduction to Programming in Python, Second Edition provides a hands-on and accessible introduction to writing software in Python, with no prior programming experience required. The Second Edition was thoroughly reorganized and rewritten based on classroom experience to incorporate: A spiral approach, starting with turtle graphics, and then revisiting concepts in greater depth using numeric, textual, and image data Clear, concise explanations written for beginning students, emphasizing core principles A variety of accessible examples, focusing on key concepts Diagrams to help visualize new concepts New sections on recursion and exception handling, as well as an earlier introduction of lists, based on instructor feedback The text offers sections designed for approximately one class period each, and proceeds gradually from procedural to object-oriented design. Examples, exercises, and projects are included from diverse application domains, including finance, biology, image processing, and textual analysis. It also includes a brief "How-To" sections that introduce optional topics students may be interested in exploring. The text is written to be read, making it a good fit in flipped classrooms. Designed for either classroom use or self-study, all example programs and solutions to odd-numbered exercises (except for projects) are available at: http://www.central.edu/go/conciseintro/.

The Image Processing Handbook

The Image Processing Handbook
Author: John C. Russ
Publisher: CRC Press
Total Pages: 836
Release: 2006-12-19
Genre: Medical
ISBN: 0203881095

Now in its fifth edition, John C. Russ‘s monumental image processing reference is an even more complete, modern, and hands-on tool than ever before. The Image Processing Handbook, Fifth Edition is fully updated and expanded to reflect the latest developments in the field. Written by an expert with unequalled experience and authority, it offers clea

A Concise Introduction to Machine Learning

A Concise Introduction to Machine Learning
Author: A.C. Faul
Publisher: CRC Press
Total Pages: 335
Release: 2019-08-01
Genre: Business & Economics
ISBN: 1351204742

The emphasis of the book is on the question of Why – only if why an algorithm is successful is understood, can it be properly applied, and the results trusted. Algorithms are often taught side by side without showing the similarities and differences between them. This book addresses the commonalities, and aims to give a thorough and in-depth treatment and develop intuition, while remaining concise. This useful reference should be an essential on the bookshelves of anyone employing machine learning techniques. The author's webpage for the book can be accessed here.