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Digital Image Processing Using Matlab Rafael C Gonzalez Richard Ewoods

  • SKU: BELL-50195688
Digital Image Processing Using Matlab Rafael C Gonzalez Richard Ewoods
$ 31.00 $ 45.00 (-31%)

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Digital Image Processing Using Matlab Rafael C Gonzalez Richard Ewoods instant download after payment.

Publisher: Pearson Prentice Hall
File Extension: PDF
File size: 39 MB
Pages: 609
Author: Rafael C. Gonzalez, Richard E.Woods, Steven L Eddins
ISBN: 9780130085191, 0130085197
Language: English
Year: 2003

Product desciption

Digital Image Processing Using Matlab Rafael C Gonzalez Richard Ewoods by Rafael C. Gonzalez, Richard E.woods, Steven L Eddins 9780130085191, 0130085197 instant download after payment.

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. In spite of 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. This book was written for just this purpose. Its main objective is to provide a foundation for implementing image processing algorithms using modern software tools. A complementary objective was to prepare a book that is 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. To achieve these objectives, we felt that two key ingredients were needed. The first was to select image processing material that is representative of material covered in a formal course of instruction in this field. The second was to select software tools that are well supported and documented, and which have a wide range of applications in the "real" world. To meet the first objective, most of the theoretical concepts in the following chapters were selected fromDigital Image Processingby Gonzalez and Woods, which has been the choice introductory textbook used by educators all over the

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