Digital Image Processing, 4e
Written for senior-level undergraduates and first-year graduate students, Digital Image Processing, 4e introduces basic concepts and methodologies for digital image processing. Its topics include digital image fundamentals, image restoration, image processing, and image segmentation. The book expands and adds on to some third edition topics, including deep learning and deep neural networks. It also includes improvements to the organization of the image transforms chapter as well as the examples and exercises scattered throughout the book.
The fourth edition is also the first to include MATLAB projects. It provides 120 projects and detailed solutions manuals for faculty and students online. The supplemental set of MATLAB code files is available for download, as part of the support materials.
About This Book
Rafael C. Gonzalez, University of Tennessee
Richard E. Woods, Interapptics
Pearson Education Inc, 2018
Online Teaching with MATLAB and Simulink
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