Digital Image Processing Using MATLAB, 2e
This book provides comprehensive coverage of image processing fundamentals and the software principles used in their implementation. Major topics include intensity transformations, spatial filtering, frequency-domain filtering, image restoration and reconstruction, geometric transformations and image registration, color image processing, wavelets, image compression, morphology, image segmentation, image representation and description, and object recognition. This revised second edition adds new and expanded coverage of the Radon transform, fuzzy logic, geometric transformations, image registration, color profiles and device-independent color conversions, video compression, adaptive thresholding, minimum-perimeter polygons, and corner detection. Many new MATLAB functions for image processing are presented, as well as tutorials for building GUIs and interfacing C code with MATLAB. (This book is also available in India and other countries.)
MATLAB and Image Processing Toolbox are used throughout the text to solve numerous application examples. In addition, a supplemental set of MATLAB code files is available for download from the publisher's Web site.
View the publisher’s web page for this book.
About This Book
Rafael C. Gonzalez, University of Tennessee
Richard E. Woods, Interapptics
Steven L. Eddins, MathWorks
McGraw-Hill Education (Asia), 2011
Online Teaching with MATLAB and Simulink
Whether you are transitioning a classroom course to a hybrid model, developing virtual labs, or launching a fully online program, MathWorks can help you foster active learning no matter where it takes place.