Digital image processing / Kenneth R. Castleman.
Material type: TextPublication details: Noida, India : Pearson India Education Services Pvt. Ltd., 2007.Edition: First editionDescription: xviii, 667 pages : illustrations ; 25 cmISBN:- 978-0132114677
- 621.36/7 C353d 1996 20
- TA1632 .C37 1996
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
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Books | Premier University Faculty of Engineering Library | 621.36/7 C353d 1996 | 1 | Checked out | 11/06/2017 | 16593 | |
Books | Premier University Faculty of Engineering Library | 621.36/7 C353d 2007 | 2 | Available | 18006 | ||
Books | Premier University Faculty of Engineering Library | 621.36/7 C353d 2007 | 3 | Available | 18007 |
Includes bibliographical references (p. 611-635) and 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 -- 9. Linear System Theory -- 10. The Fourier Transform -- 11. Filter Design -- 12. Processing Sampled Data -- 13. Discrete Image Transforms -- 14. Wavelet Transforms -- 15. Optics and System Analysis -- 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 -- A1 Glossary of Image Processing Terms -- A2 Bibliography -- A3 Mathematical Background.
Digital image processing has experienced explosive growth over the past two decades. Public awareness has increased by way of video games, digital video special effects used in the entertainment industry, as well as articles in the mainstream press. However, the most significant impact of digital image processing in the 90s will be in the area of applications to real-world problems. To help readers keep pace, author Kenneth R.
Castleman concentrates on those techniques that have proven most useful in practice. Part I presents several important concepts that can be developed without detailed mathematical analysis for a basic understanding. Part II addresses techniques that rely more on mathematics and elaborates analytically on certain concepts introduced in Part I. Part III covers specific application areas that are particularly important in industry, science, and medicine.
Computer Science and Engineering.
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