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Digital Image Processing Using Matlab

Digital Image Processing Using Matlab
Digital Image Processing Using MATLAB is the first book that provides a balanced treatment of image processing fundamentals doremi image usenet and the software principles used in their practical implementation. The book integrates material from the leading text, Digital Image Processing by Gonzalez doremi image usenet and Woods, doremi image usenet and the Image Processing Toolbox of the MathWorks. Inc., a recognized leader in scientific computing. The Image Processing Toolbox provides a stable, well-supported set of software tools for addressing a broad range of applications in digital image processing. A unique feature of this hook is its emphasis on showing how to enhance those tools by the development of new code. This is important in image processing, where there is a need for extensive experimental work in order to arrive at acceptable problem solutions. After an introduction to the fundamentals of MATLAB programming, the book addresses the mainstream areas of image processing. Areas covered include intensity transformations, linear doremi image usenet and nonlinear spatial filtering, filtering in the frequency domain, image restoration doremi image usenet and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions doremi image usenet and boundary representation doremi image usenet and description, doremi image usenet and object recognition. Some Highlights The book is self-contained. Over 60 new image processing functions are developed a 35 increase over the comprehensive set of functions in the Image Processing Toolbox. A fully documented listing of every new function developed is included in the book. Using C code with MATLAB is covered in detail. There are 114 examples, over 400 images, doremi image usenet and over 150 graphs doremi image usenet and line drawings that enhance the discussion of the material. All MATLAB, Image Processing Toolbox, doremi image usenet and new functions used in the book, are conveniently summarized in an appendix. The design of graphical us Copyright (C) Muze Inc. 2005. For personal use only. All rights reserved.
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Digital Image Processing

Digital Image Processing
Digital Image Processing has been the leading textbook in its field for more than 20 years. As was the case with the 1977 doremi image usenet and 1987 editions by Gonzalez doremi image usenet and Wintz, doremi image usenet and the 1992 edition by Gonzalez doremi image usenet and Woods, the present edition was prepared with students doremi image usenet and instructors in mind. 771e material is timely, highly readable, doremi image usenet and illustrated with numerous examples of practical significance. All mainstream areas of image processing are covered, including a totally revised introduction doremi image usenet and discussion of image fundamentals, image enhancement in the spatial doremi image usenet and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, doremi image usenet and image description. Coverage concludes with a discussion of the fundamentals of object recognition. Although the book is completely self-contained, a Companion Website (see inside front cover) provides additional support in the form of review material, answers to selected problems, laboratory project suggestions. doremi image usenet and a score of other features. A supplementary instructor`s manual is available to instructors who have adopted the book for classroom use. New Features New chapters on wavelets, image morphology, doremi image usenet and color image processing. More than 500 new images doremi image usenet and over 200 new line drawings doremi image usenet and tables. A revision doremi image usenet and update of all chapters, including topics such as segmentation by watersheds. Numerous new examples with processed images of higher resolution. A reorganization that allows the reader to get to the material on actual image processing much sooner than before. Updated image compression standards doremi image usenet and a new section on compression using wavelets. A more intuitive development of traditional topics such as image transforms doremi image usenet and image restoration. Updated bibliography. Copyright (C) Muze Inc. 2005. For personal use only. All rights reserved.
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