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Bibliographic Details

Title: Nonlinear Image Processing
Publisher: Elsevier Science & Technology
Publication Date: 2000
Language: English
ISBN 10: 0125004516
ISBN 13: 9780125004510
Binding: Hardcover
Condition: Good
Weight: 2.236 pounds

About this title

Synopsis

This state-of-the-art book deals with the most important aspects of non-linear imaging challenges. The need for engineering and mathematical methods is essential for defining non-linear effects involved in such areas as computer vision, optical imaging, computer pattern recognition, and industrial automation challenges.

Presents the latest developments in a variety of filter design techniques and algorithms
Contains essential information for development of Human Vision Systems (HVS)
Provides foundations for digital imaging and image capture technology

Review

"The book considers the following filter families, with varying emphasis, according to popularity and impact in image processing tasks:

honomorphic filters, relying on a generalized superposition principle

nonlinear mean filters, using nonlinear definitions of means

morphological filters, based on geometrical rather than analytical properties

order statistics filters, based on ordering properties of the input samples

polynomial filters, using polynomial expressions in the input and output samples

fuzzy filters, applying fuzzy reasoning to model the uncertainty typical of some image processing issues

nonlinear operations modeled in terms of nonlinear partial differential equations."

--IEEE SIGNAL PROCESSING MAGAZINE, January 2001

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