Digital Image Processing
International Edition
Published on 26. June 1996
Book
Paperback/Softback
667 pages
978-0-13-398058-5 (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
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 233 mm
Width: 175 mm
Thickness: 24 mm
Weight
932 gr
ISBN-13
978-0-13-398058-5 (9780133980585)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Book
12/1995
Pearson
€228.39
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.