Digital Image Processing

Digital Image Processing Using Matlab

Digital Image Processing Using MATLAB is the first book that provides a balanced treatment of image processing fundamentals digital image processing and the software principles used in their practical implementation. The book integrates material from the leading text, Digital Image Processing by Gonzalez digital image processing and Woods, digital image processing 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 digital image processing and nonlinear spatial filtering, filtering in the frequency domain, image restoration digital image processing and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions digital image processing and boundary representation digital image processing and description, digital image processing 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, digital image processing and over 150 graphs digital image processing and line drawings that enhance the discussion of the material. All MATLAB, Image Processing Toolbox, digital image processing 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 has been the leading textbook in its field for more than 20 years. As was the case with the 1977 digital image processing and 1987 editions by Gonzalez digital image processing and Wintz, digital image processing and the 1992 edition by Gonzalez digital image processing and Woods, the present edition was prepared with students digital image processing and instructors in mind. 771e material is timely, highly readable, digital image processing and illustrated with numerous examples of practical significance. All mainstream areas of image processing are covered, including a totally revised introduction digital image processing and discussion of image fundamentals, image enhancement in the spatial digital image processing and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, digital image processing 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. digital image processing 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, digital image processing and color image processing. More than 500 new images digital image processing and over 200 new line drawings digital image processing and tables. A revision digital image processing 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 digital image processing and a new section on compression using wavelets. A more intuitive development of traditional topics such as image transforms digital image processing and image restoration. Updated bibliography. Copyright (C) Muze Inc. 2005. For personal use only. All rights reserved.
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Digital image processing - Digital image processing is the use of computer algorithms to perform image processing on digital images. Digital image processing has the same advantages (over analog image processing) as digital signal processing has (over analog signal processing) -- it allows a much wider range of algorithms to be applied to the input data, and can avoid problems such as the build-up of noise and signal distortion during processing.

Microscope image processing - Microscope image processing is a broad term that covers the use of digital image processing techniques to process, analyze and present images obtained from a microscope. Such processing is now commonplace in a number of diverse fields such as medicine, biological research, cancer research, drug testing, metallurgy, etc.

Morphological image processing - A collection of techniques for digital image processing based on mathematical morphology. Since these techniques rely only on the relative ordering of pixel values, not on their numerical values, they are especially suited to the processing of binary images and grayscale images whose light transfer function is not known.

Segmentation (image processing) - In image analysis, segmentation is the partition of a digital image into multiple regions (sets of pixels), according to some criterion.

digitalimageprocessing

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