Nonlinear Image Processing

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Description

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. It: presents the latest developments in a variety of filter design techniques and algorithms; contains essential information for development of Human Vision Systems (HVS); and, provides foundations for digital imaging and image capture technology.
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Product details

  • Hardback | 455 pages
  • 184.9 x 260.4 x 27.4mm | 1,109.75g
  • Academic Press Inc
  • San Diego, United States
  • English
  • Illustrations (some col.)
  • 0125004516
  • 9780125004510

Table of contents

1. "Analysis and Optimization of Weighted Order Statistics and Stack Filters" S. Siren, P. Kuosmainen, K. Egiazarian, M. Gabbouj and J. Astola 2. "Image Enhancement and Analysis with Weighted Medians" G. Arce and J. L. Paredes 3. "Spatial-Rank Order Selection Filters" R. Hardie and K. Barner 4. "Signal-Dependent Rank-Ordered Mean (SD-ROM) Filter" E. Abreu 5. "Nonlinear Mean Filters and Their Applications in Image Filtering and Edge Detection" M. Pappas and I. Pitas 6. "Two-Dimensional Teager Filters" S. Thurnhofer 7. "Polynomial and Rational Operators for Image Processing and Analysis" G. Ramponi 8. "Nonlinear Partial Differential Equations in Image Processing" G. Sapiro 9. "Region-Based Filtering of Images and Video Sequences: a Morphological Viewpoint" P. Salembier 10. "Differential Morphology" P. Maragos 11. "Coordinate Logic Filters" B.G. Mertzios and K. Tsirikolias 12. "Nonlinear Filters Based on Fuzzy Models" F. Russo 13. "Digital Halftoning" G. Arce and D. Lau 14. "Intrinsic Dimensionality: Nonlinear Image Operators and Higher Order Statistics" C. Zetzsche and G. Krieger
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Review quote

"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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