Fundamentals of electronic image processing

This book is directed to practicing engineers and scientists who need to understand the fundamentals of image processing theory and algorithms to perform their technical tasks. It is intended to fill the gap between existing high-level texts dedicated to specialists in the field and the need for a m...

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Bibliographic Details
Main Author Weeks, Arthur R.
Format Electronic eBook
LanguageEnglish
Published Bellingham, Wash., USA : New York : SPIE Optical Engineering Press ; IEEE Press, ©1996.
SeriesSPIE/IEEE series on imaging science & engineering.
Subjects
Image processing.
elektronické knihy
electronic books
Online AccessFull text
ISBN9780819480439
0819480436
9781615837465
1615837469
9780470544709
0470544708
0819421499
9780819421494
0780334108
9780780334106
Physical Description1 online resource (xiii, 570 pages) : illustrations (some color), maps.

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Table of Contents:
  • Preface
  • Acknowledgments
  • 1. Introduction to electronic image processing. 1.1. Historical background; 1.2. Applications of image processing; 1.3. Introduction to visual perception; 1.4. Image formation; 1.5. Sampling and quantization; 1.6. Image neighbors and distances; 1.7. Typical image processing systems
  • 2. Transforms used in electronic image processing. 2.1. The Fourier series; 2.2. The one-dimensional Fourier transform; 2.3. The two-dimensional Fourier transform; 2.4. Important functions relating to the Fourier transform; 2.5. The discrete Fourier transform; 2.6. Example and properties of the discrete Fourier transform; 2.7. Computation of the discrete Fourier transform; 2.8. Other image transforms
  • 3. Image enhancement by point operations. 3.1. An overview of point processing; 3.2. Constant and nonlinear operations; 3.3. Operations between images; 3.4. Histogram techniques
  • 4. Spatial filtering and fourier frequency methods. 4.1. Various types of noise that appear in images; 4.2. Spatial filtering; 4.3. Spatial frequency filtering; 4.4. Image restoration.
  • 5. Nonlinear image processing techniques. 5.1. Nonlinear spatial filters based on order statistics; 5.2. Nonlinear mean filters; 5.3. Adaptive filters; 5.4. The homomorphic filter
  • 6. Color image processing. 6.1. Color fundamentals; 6.2. Color models; 6.3. Examples of color image processing; 6.4. Pseudocoloring and color displays
  • 7. Image geometry and morphological filters. 7.1. Spatial interpolation; 7.2. Image geometry; 7.3. Binary morphology: dilation and erosion; 7.4. Binary morphology: opening, closing, edge detection, and skeletonization; 7.5. Binary morphology: hit-miss, thinning, thickening, and pruning; 7.6. Binary morphology: granulometries and the pattern spectrum; 7.7. Graylevel morphology
  • 8. Image segmentation and representation. 8.1. Image thresholding; 8.2. Edge, line, and point detection; 8.3. Region based segmentation; 8.4. Image representation
  • 9. Image compression. 9.1. Compression fundamentals; 9.2. Error-free compression methods; 9.3. Lossy compression methods
  • Bibliography
  • Index.

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