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Digital Image Processing Using MATLAB(R) by Steven L. Eddins, R Woods HC
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- ¡Cómpralo ya!Digital Image Processing Using MATLAB(R) by Steven L. Eddins, R Woods HC
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Recogida:
Recogida local gratis en Woburn, Massachusetts, Estados Unidos.
Envío:
USD4,40 (aprox. 3,80 EUR) USPS Media MailTM.
Ubicado en: Woburn, Massachusetts, Estados Unidos
Entrega:
Entrega prevista entre el lun. 17 nov. y el lun. 24 nov. a 94104
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N.º de artículo de eBay:336271101432
Características del artículo
- Estado
- ISBN
- 9780130085191
Acerca de este producto
Product Identifiers
Publisher
Prentice Hall PTR
ISBN-10
0130085197
ISBN-13
9780130085191
eBay Product ID (ePID)
5988278
Product Key Features
Number of Pages
624 Pages
Language
English
Publication Name
Digital Image Processing Using Matlab (R)
Subject
Computer Graphics, Mathematical & Statistical Software, Image Processing
Publication Year
2003
Type
Textbook
Subject Area
Computers
Format
Hardcover
Dimensions
Item Height
1 in
Item Weight
37.7 Oz
Item Length
9.3 in
Item Width
7.3 in
Additional Product Features
Intended Audience
College Audience
LCCN
2004-272415
Dewey Edition
0
Illustrated
Yes
Dewey Decimal
621.3/67/0285
Table Of Content
1. Introduction. 2. Fundamentals. 3. Intensity Transformations and Spatial Filtering. 4. Frequency Domain Processing. 5. Image Restoration. 6. Color Image Processing. 7. Wavelets. 8. Image Compression. 9. Morphological Image Processing. 10. Image Segmentation. 11. Representation and Description. 12. Object Recognition.
Synopsis
For Image and Computer Vision, Image Processing, and Computer Vision courses. This is the first text that provides a balanced treatment of image processing fundamentals and an introduction to software principles used in the practical application of image processing. A seamless integration of material from the leading text, Digital Image Processing by Gonzalez and Woods and the Image Processing Toolbox from Mathworks, Inc. This text works in the MATLAB computing environment; the Toolbox 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, morphological image processing, image segmentation, regions and boundary representation and description, and object recognition., 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.
LC Classification Number
TA1632.G66 2004
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