Digital Image Processing (MATLAB Version): MATLAB Version

Author: Gonzalez
Publisher:
Publish Date: 2004-05-01
Features: The distinctive feature of this book lies in its emphasis on how to enhance these software tools by developing new code. To achieve satisfactory problem-solving methods, it is essential to broaden experimental work, which is particularly important in image processing. After introducing the fundamentals of MATLAB programming, the book covers the core content of image processing, including: gray-level 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, as well as object recognition. This is a book that contrasts the fundamental theories of image processing with software practical methods primarily using MATLAB as the main tool. It integrates important original materials from Gonzalez and Woods' Digital Image Processing and the Image Processing Toolbox from MathWorks, a recognized leader in scientific computing. The Image Processing Toolbox provides a stable and widely applicable set of software tool support for digital image processing. The distinctive feature of this book lies in its emphasis on how to enhance these software tools by developing new code. To achieve satisfactory problem-solving methods, it is essential to broaden experimental work, which is particularly important in image processing. After introducing the fundamentals of MATLAB programming, the book covers the core content of image processing, including: gray-level 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, as well as object recognition. This book is suitable for students and faculty in institutions of higher learning majoring in signal and information processing, computer science and technology, communication engineering, geophysics, and related fields for reference.