Free Download Digital Image Processing Using MATLAB Book in PDF written by Rafael C. Gonzalez, Richard E. Woods and Steven L. Eddins & published by Gatesmark, LLC.
According to the Authors, “This edition of Digital Image Processing Using MATLAB is a major revision of the book. As in the previous edition, the focus of the book is based on the fact that solutions to problems in the field of digital image processing generally require extensive experimental work involving software simulation and testing with large sets of sample images. Although algorithm development typically is based on theoretical underpinnings, the actual implementation of these algorithms almost always requires parameter estimation and, frequently, algorithm revision and comparison of candidate solutions. Thus, selection of a flexible, comprehensive, and well-documented software development environment is a key factor that has important implications in the cost, development time, and portability of image processing solutions.
Despite its importance, surprisingly little has been written on this aspect of the field in the form of textbook material dealing with both theoretical principles and software implementation of digital image processing concepts. The first edition of this book was written in 2004 to meet just this need. This new edition of the book continues the same focus. Its main objective is to provide a foundation for implementing image processing algorithms using modern software tools. A complementary objective is that the book be self-contained and easily readable by individuals with a basic background in digital image processing, mathematical analysis, and computer programming, all at a level typical of that found in a junior/senior curriculum in a technical discipline. Rudimentary knowledge of MATLAB also is desirable.
Table of Contents
- Intensity Transformations and Spatial Filtering
- Filtering in the Frequency Domain
- Image Restoration and Reconstruction
- Geometric Transformations and Image Registration
- Color Image Processing
- Image Compression
- Morphological Image Processing
- Image Segmentation
- Representation and Description
- Object Recognition
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