Digital Image Processing (MATLAB Version)

Author: (USA) Gonzalez (Gonzalez.R.C.)
Publisher:
Publishing Date: 2005-09-01
Features: This book combines the discussion of fundamental theories of image processing with software practical methods. It integrates important content from the book "Digital Image Processing" by Gonzalez and Woods and the Image Processing Toolbox from MathWorks. The book's feature lies in its emphasis on how to enhance these software tools by developing new code. After introducing the basics of MATLAB programming, the book covers the main contents of image processing, including brightness transformation, linear and nonlinear spatial filtering, frequency domain filtering, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, region and boundary representation and description, and object recognition. Main Features of the Book: The book is self-contained; it has developed over 60 new image processing functions; it provides detailed coverage of using C code in MATLAB; it offers 114 examples, more than 400 images, and over 150 figures and line drawings; all MATLAB functions, image processing toolbox functions, and new functions used in the book are listed in the appendix; it provides a detailed exploration of graphical user interface (GUI) design; the companion website of the book offers comprehensive support (M files, image files, teaching materials, updates, etc.). This book combines the discussion of fundamental theories of image processing with software practical methods. It integrates important content from the book "Digital Image Processing" by Gonzalez and Woods and the Image Processing Toolbox from MathWorks. The book's feature lies in its emphasis on how to enhance these software tools by developing new code. After introducing the basics of MATLAB programming, the book covers the main contents of image processing, including brightness transformation, linear and nonlinear spatial filtering, frequency domain filtering, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, region and boundary representation and description, and object recognition. The book is clear in concept and well-structured, making it suitable for students and teachers of colleges and universities majoring in signal and information processing, computer science and technology, communication engineering, geophysics, medicine, and related engineering professionals as a reference. The book is clear in concept and well-structured, making it suitable for students and teachers of colleges and universities majoring in signal and information processing, computer science and technology, communication engineering, geophysics, medicine, and related engineering professionals as a reference.