Digital image processing algoriths /
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Author / Creator: | Pitas, Ioannis, 1957- (Ioannis) |
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Imprint: | New York : Prentice Hall, 1993. |
Description: | xi, 362 p. : ill. ; 24 cm. |
Language: | English |
Series: | Prentice Hall international series in acoustics, speech, and signal processing |
Subject: | Image processing -- Digital techniques Algorithms Algorithms. Image processing -- Digital techniques. |
Format: | Print Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/1557362 |
Table of Contents:
- 1. Digital image processing fundamentals. 1.2. Topics of digital image processing and analysis. 1.3. Digital image formation. 1.4. Digital image representation. 1.5. Elementary digital image processing operations. 1.6. Digital image display. 1.7. Fundamentals of colour image processing. 1.8. Noise generators for digital image processing
- 2. Digital image transform algorithms. 2.2. Two-dimensional discrete Fourier transform. 2.3. Row-column FFT algorithm. 2.4. Memory problems in 2-d DFT calculations. 2.5. Vector-radix fast Fourier transform algorithm. 2.6. Polynomial transform FFT. 2.7. Two-dimensional power spectrum estimation. 2.8. Discrete cosine transform. 2.9. Two-dimensional discrete cosine transform
- 3. Digital image filtering. 3.2. Direct implementation of two-dimensional FIR digital filters. 3.3. Fast Fourier transform implementation of FIR digital filters. 3.4. Block methods in the linear convolution calculation. 3.5. Inverse filter implementations. 3.6. Wiener filters. 3.7. Median filter algorithms. 3.8. Digital filters based on order statistics. 3.9. Adaptive order statistic filters. 3.10. Histogram and histogram equalization techniques. 3.11. Pseudocolouring algorithms. 3.12. Digital image halftoning. 3.13. Image interpolation algorithms
- 4. Digital image compression. 4.2. Huffman coding. 4.3. Run-length coding. 4.4. Modified READ coding. 4.5. LZW compression. 4.6. Predictive coding. 4.7. Transform image coding
- 5. Edge detection algorithms. 5.2. Edge detection. 5.3. Edge thresholding. 5.4. Hough transform. 5.5. Edge-following algorithms
- 6. Image segmentation algorithms. 6.2. Image segmentation by thresholding. 6.3. Split/merge and region growing algorithms. 6.4. Relaxation algorithms in region analysis. 6.5. Connected component labelling. 6.6. Texture description
- 7. Shape description. 7.2. Chain codes. 7.3. Polygonal approximations. 7.4. Fourier descriptors. 7.5. Quadtrees. 7.6. Pyramids. 7.7. Shape features. 7.8. Moment descriptors. 7.9. Thinning algorithms. 7.10. Mathematical morphology. 7.11. Greyscale morphology. 7.12. Skeletons. 7.13. Shape decomposition.