MTU Library Catalogue

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Digital image processing / Rafael C. Gonzalez, Paul Wintz.

By: Gonzalez, Rafael C.
Contributor(s): Wintz, Paul A.
Material type: materialTypeLabelBookPublisher: Reading, Mass. : Addison-Wesley, c1987Edition: 2nd ed.Description: xviii, 503 p. : ill. ; 24 cm.ISBN: 0201110261 :; 9780201110265.Subject(s): Image processing -- Digital techniquesDDC classification: 621.367 GON
Holdings
Item type Current library Call number Copy number Status Barcode
General lending MTU Kerry North Campus Library First Floor Main 621.367 GON (Browse shelf(Opens below)) 1 Available 38888000192256
Total holds: 0

Enhanced descriptions from Syndetics:

Second edition of a respected textbook in a rapidly evolving field. Annotation c. by Book News, Inc., Portland, Or.

Includes index.

Bibliography: p. 483-495.

Table of contents provided by Syndetics

  • Chapters end with a Summary
  • References and Further Reading, and Problems
  • 1 Introduction
  • What Is Digital Image Processing? The Origins of Digital Image Processing
  • Examples of Fields that Use Digital Image Processing
  • Fundamental Steps in Digital Image Processing
  • Components of an Image Processing System
  • 2 Digital Image Fundamentals
  • Elements of Visual Perception
  • Light and the Electromagnetic Spectrum
  • Image Sensing and Acquisition
  • Image Sampling and Quantization
  • Some Basic Relationships Between Pixels
  • Linear and Nonlinear Operations
  • 3 Image Enhancement in the Spatial Domain
  • Background
  • Some Basic Gray Level Transformations
  • Histogram Processing
  • Enhancement Using Arithmetic/Logic Operations
  • Basics of Spatial Filtering
  • Smoothing Spatial Filters
  • Sharpening Spatial Filters
  • Combining Spatial Enhancement Methods
  • 4 Image Enhancement in the Frequency Domain
  • Background
  • Introduction to the Fourier Transform and the Frequency Domain
  • Smoothing Frequency-Domain Filters
  • Sharpening Frequency Domain Filters
  • Homomorphic Filtering
  • Implementation
  • 5 Image Restoration
  • A Model of the Image Degradation/Restoration Process
  • Noise Models
  • Restoration in the Presence of Noise Only-Spatial Filtering
  • Periodic Noise Reduction by Frequency Domain Filtering
  • Linear, Position-Invariant Degradations
  • Estimating the Degradation Function
  • Inverse Filtering
  • Minimum Mean Square Error (Wiener) Filtering
  • Constrained Least Squares Filtering
  • Geometric Mean Filter
  • Geometric Transformations
  • 6 Color Image Processing
  • Color Fundamentals
  • Color Models
  • Pseudocolor Image Processing
  • Basics of Full-Color Image Processing
  • Color Transformations
  • Smoothing and Sharpening
  • Color Segmentation
  • Noise in Color Images
  • Color Image Compression
  • 7 Wavelets and Multiresolution Processing
  • Background
  • Multiresolution Expansions
  • Wavelet Transforms in One Dimension
  • The Fast Wavelet Transform
  • Wavelet Transforms in Two Dimensions
  • Wavelet Packets
  • 8 Image Compression
  • Fundamentals
  • Image Compression Models
  • Elements of Information Theory
  • Error-Free Compression
  • Lossy Compression
  • Image Compression Standards
  • 9 Morphological Image Processing
  • Preliminaries
  • Dilation and Erosion
  • Opening and Closing
  • The Hit-or-Miss Transformation
  • Some Basic Morphological Algorithms
  • Extensions to Gray-Scale Images
  • 10 Image Segmentation
  • Detection of Discontinuities
  • Edge Linking and Boundary Detection
  • Thresholding
  • Region-Based Segmentation
  • Segmentation by Morphological Watersheds
  • The Use of Motion in Segmentation
  • 11 Representation and Description
  • Representation
  • Boundary Descriptors
  • Regional Descriptors
  • Use of Principal Components for Description
  • Relational Descriptors
  • 12 Object Recognition
  • Patterns and Pattern Classes
  • Recogni