Digital Image Processing
United States Edition
Published on 15. December 1995
Book
Hardback
688 pages
978-0-13-211467-7 (ISBN)
Description
For undergraduate-level courses in Digital Image Processing.
Ideal for those who do not possess an advanced background in electrical engineering, this broad introduction to the fundamental concepts of digital imaging shows how the various techniques can be applied to solve real-world problems (e.g., in biology, astronomy, forensics, etc.). It helps students develop the insight required to use the tools of digital imaging to solve new problems.
Ideal for those who do not possess an advanced background in electrical engineering, this broad introduction to the fundamental concepts of digital imaging shows how the various techniques can be applied to solve real-world problems (e.g., in biology, astronomy, forensics, etc.). It helps students develop the insight required to use the tools of digital imaging to solve new problems.
More details
Other editions
New editions
Book
06/1996
Pearson
€228.39
Article is exhausted; no reprint
Previous edition
Kenneth R. Castleman
Digital Image Processing
Book
01/1979
Prentice Hall
€112.60
Article exhausted; check for reprint
Content
I.
1. Images and Digital Processing.
2. Digitizing Images.
3. Digital Image Display.
4. Image-Processing Software.
5. The Gray-Level Histogram.
6. Point Operations.
7. Algebraic Operations.
8. Geometric Operations.
II.
9. Linear Systems Theory.
10. The Fourier Transform.
11. Filter Design.
12. Processing Sampled Data.
13. Discrete Image Transforms.
14. Wavelet Transforms.
15. Optics and System Analysis.
III.
16. Image Restoration.
17. Image Compression.
18. Pattern Recognition: Image Segmentation.
19. Pattern Recognition: Object Measurement.
20. Pattern Recognition: Classification and Estimation.
21. Color and Multispectral Image Processing.
22. Three-Dimensional Image Processing.
APPENDICES.
A1. Glossary of Image Processing Terms.
A2. Bibliography.
A3. Mathematical Background.
Index.
1. Images and Digital Processing.
2. Digitizing Images.
3. Digital Image Display.
4. Image-Processing Software.
5. The Gray-Level Histogram.
6. Point Operations.
7. Algebraic Operations.
8. Geometric Operations.
II.
9. Linear Systems Theory.
10. The Fourier Transform.
11. Filter Design.
12. Processing Sampled Data.
13. Discrete Image Transforms.
14. Wavelet Transforms.
15. Optics and System Analysis.
III.
16. Image Restoration.
17. Image Compression.
18. Pattern Recognition: Image Segmentation.
19. Pattern Recognition: Object Measurement.
20. Pattern Recognition: Classification and Estimation.
21. Color and Multispectral Image Processing.
22. Three-Dimensional Image Processing.
APPENDICES.
A1. Glossary of Image Processing Terms.
A2. Bibliography.
A3. Mathematical Background.
Index.