Digital Image Processing Using MATLAB (R)

This is the first book that provides a balanced treatment of image processing basics and software principles used in the practical application of image processing. Working in the MATLAB computing environment, it provides a stable, well-supported set of software tools capable of addressing a broad spectrum of applications in digital image processing. The major areas covered include intensity transformations, linear and nonlinear spatial filtering, filtering in the frequency domain, image restoration and registration, color image processing, wavelets, image data compression, morpohological image processing, image segmentation, regions and boundary representation and description, and object recognition. For software developers working with image processing.

Practical Programming in Tcl/Tk, 4th edition

• The Tcl/Tk bestseller fully updated for Tcl 8.4!
• Authoritative coverage of every Tcl and Tk command in the core toolkits
• State-of-the-art Tk GUI coverage for Tcl, Perl, Python, and Ruby developers
• Covers all key Tcl 8.4 enhancements: VFS, internationalization and performance improvements, new widgets, and much more
• Covers multi-threaded Tcl applications and Starkits, a revolutionary way to package and deploy Tcl applications
• CD-ROM: Source and binary Tcl/Tk distributions and extensions for Windows®, LinuxTM, SolarisTM, and Macintosh®, plus all code from the book

The Tcl/Tk bestseller, now completely updated for Tcl 8.4!

The world's #1 guide to Tcl/Tk has been thoroughly updated to reflect Tcl/Tk8.4's powerful improvements in functionality, flexibility, and performance!Brent Welch, Ken Jones, and Jeffrey Hobbs, three of the world1s leading Tcl/Tk experts, cover every facet of Tcl/Tk programming, including cross-platform scripting and GUI development, networking, enterprise application integration, and much more.Coverage includes:

• Systematic explanations and sample code for all Tcl/Tk 8.4 core commands
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Whether you1re upgrading to Tcl/Tk 8.4, or building GUIs for applicationscreated with other languages, or just searching for a better cross-platformscripting solution, Practical Programming in Tcl and Tk, Fourth Editiondelivers all you need to get results!

The accompanying CD-ROM includes source and binary distributionsof Tcl/Tk, Tcl extensions, and tools for Windows 9x/2000/XP, Linux, Solaris,and Macintosh, plus all the code from the book.

Digital Image Processing Using MATLAB is the first book that provides a balanced treatment of image processing fundamentals and the software principles used in their practical implementation. The book integrates material from the leading text, Digital Image Processing by Gonzalez and Woods, 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 and nonlinear spatial filtering, filtering in the frequency domain, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions and boundary representation and description, 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.
• Thereare 114 examples, over 400 images, and over 150 graphs and line drawings that enhance the discussion of the material.
• All MATLAB, Image Processing Toolbox, and new functions used in the book, are conveniently summarized in an appendix.
• The design of graphical user interfaces (GUIs) is covered in detail.
• A book web site provides complimentary support.

Digital Image Processing Using MATLAB is the first book that provides a balanced treatment of image processing fundamentals and the software principles used in their practical implementation. The book integrates material from the leading text, Digital Image Processing by Gonzalez and Woods, 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 book 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 and nonlinear spatial filtering, filtering in the frequency domain, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions and boundary representation and description, and object recognition. Practical Programming in Tcl/Tk is described as the "bible" for Tcl programmers. It is a guide to the Tcl/Tk programming language and GUI toolkit. This revision includes substantial updates to cover the new version 8.4-giving both an overview of the features, as well as details about every command in the language. The third edition, written on version 8.2, sold over 30,000 copies. Version 8.4 of Tcl - Tool Command Language-provides substantial updates to one of the most popular UNIX scripting languages. The latest release, includes the addition of a virtual filesystem (VFS), many additional programming widgets (spinbox, panedwindow, labelframe),and improved performance of about 20% over 8.3. The book provides a guide to the best ways to use the tooklit. It not only gives accurate details, but includes extensive examples that demonstrate the best way to use the toolkit. The authors are experts that have both developed the technology and used it to solve problems, so they have many valuable insights to relate to the readers. Digital Image Processing using MATLAB is the first book that provides a balanced treatment of image processing fundamentals and the software principles used in their practical implementation. The book integrates material from the leading text, Digital Image Processing by Gonzalez and Woods, 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 book 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. -- from back cover Serving as a guide to Tcl/Tk, this work covers various facets of Tcl/Tk programming, including cross-platform scripting and GUI development, networking, enterprise application integration, and more. Its coverage includes: explanations and sample code for all Tcl/Tk 8.4 core commands; Tk GUI development guidance; and Tcl Httpd web server. Intended for Image and Computer Vision, Image Processing, and Computer Vision courses, this text provides a balanced treatment of image processing fundamentals and an introduction to software principles used in the practical application of image processing. It works in the MATLAB computing environment. Image.PDF......Page 0 Image (2).PDF......Page 134 Image (3).PDF......Page 202 Image (4).PDF......Page 272 Image.PDF -1 Image (2).PDF 134 Image (3).PDF 202 Image (4).PDF 272