Computer Imaging: Digital Image Analysis and Processing

By: Umbaugh, Scott EMaterial type: TextTextPublication details: Florida: CRC Press, 2005Description: 659 pages : illustrationsISBN: 9780849329197 ; 0849329191DDC classification: 006.37
Contents:
Ch. 1. Computer imaging -- Ch. 2. Computer imaging systems -- Ch. 3. Introduction to digital image analysis -- Ch. 4. Segmentation and edge/line detection -- Ch. 5. Discrete transforms -- Ch. 6. Feature analysis and pattern classification -- Ch. 7. Digital image processing and visual perception -- Ch. 8. Image enhancement -- Ch. 9. Image restoration -- Ch. 10. Image compression -- Ch. 11. CVIPlab -- Ch. 12. CVIPtools C function libraries -- App. A. The CVIPtools CD-Rom -- App. B. Installing and updating CVIPtools -- App. C. CVIPtools C functions -- App. D. CVIP resources -- App. E. CVIPtools software organization -- App. F. Common object module (COM) functions -- cviptools.dll.
Summary: Computer Imaging: Digital Image Analysis and Processing brings together analysis and processing in a unified framework, providing a valuable foundation for understanding both computer vision and image processing applications. Taking an engineering approach, the text integrates theory with a conceptual and application-oriented style, allowing you to immediately understand how each topic fits into the overall structure of practical application development. Divided into five major parts, the book begins by introducing the concepts and definitions necessary to understand computer imaging. The second part describes image analysis and provides the tools, concepts, and models required to analyze digital images and develop computer vision applications. Part III discusses application areas for the processing of images, emphasizing human visual perception. Part IV delivers the information required to apply a CVIPtools environment to algorithm development. The text concludes with appendices that provide supplemental imaging information and assist with the programming exercises found in each chapter. The author presents topics as needed for understanding each practical imaging model being studied. This motivates the reader to master the topics and also makes the book useful as a reference. The CVIPtools software integrated throughout the book, now in a new Windows version, provides practical examples and encourages you to conduct additional exploration via tutorials and programming exercises provided with each
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Included Index

Ch. 1. Computer imaging --
Ch. 2. Computer imaging systems --
Ch. 3. Introduction to digital image analysis --
Ch. 4. Segmentation and edge/line detection --
Ch. 5. Discrete transforms --
Ch. 6. Feature analysis and pattern classification --
Ch. 7. Digital image processing and visual perception --
Ch. 8. Image enhancement --
Ch. 9. Image restoration --
Ch. 10. Image compression --
Ch. 11. CVIPlab --
Ch. 12. CVIPtools C function libraries --
App. A. The CVIPtools CD-Rom --
App. B. Installing and updating CVIPtools --
App. C. CVIPtools C functions --
App. D. CVIP resources --
App. E. CVIPtools software organization --
App. F. Common object module (COM) functions --
cviptools.dll.

Computer Imaging: Digital Image Analysis and Processing brings together analysis and processing in a unified framework, providing a valuable foundation for understanding both computer vision and image processing applications. Taking an engineering approach, the text integrates theory with a conceptual and application-oriented style, allowing you to immediately understand how each topic fits into the overall structure of practical application development.

Divided into five major parts, the book begins by introducing the concepts and definitions necessary to understand computer imaging. The second part describes image analysis and provides the tools, concepts, and models required to analyze digital images and develop computer vision applications. Part III discusses application areas for the processing of images, emphasizing human visual perception. Part IV delivers the information required to apply a CVIPtools environment to algorithm development. The text concludes with appendices that provide supplemental imaging information and assist with the programming exercises found in each chapter.

The author presents topics as needed for understanding each practical imaging model being studied. This motivates the reader to master the topics and also makes the book useful as a reference. The CVIPtools software integrated throughout the book, now in a new Windows version, provides practical examples and encourages you to conduct additional exploration via tutorials and programming exercises provided with each

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