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Digital image processing using MATLAB

By: Gonzalez, Rafael CContributor(s): Woods, Richard E | Eddins, Steven LMaterial type: Text

TextPublication details: New Delhi : Dorling Kindersley., 2004Description: 620 p. : illustrationsISBN: 9788177588989 ; 8177588982Subject(s): MATLAB | Image processing -- Digital techniquesDDC classification: 621.367

Contents:

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.

Summary: 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.

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Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Reference Books	Main Library Reference	Reference	621.367 GON (Browse shelf(Opens below))	Available		010588

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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.

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