| Description |
1 online resource (358 pages) |
| Contents |
Intro; Halftitle; Title Page; Copyright Page; Table of Contents; Preface; 1 Introduction to Digital Image Processing; 2 Digital Image Representation; 3 Mathematical Tools for Image Processing; 4 Image Enhancement in Spatial Domain; 5 Image Processing in Frequency Domain; 6 Image Denoising; 7 Image Segmentation; 8 Mathematical Morphology; 9 Image Understanding; 10 Image Compression; 11 Image Retrieval; 12 Digital Image Forgery; Appendix A; Appendix B Image Processing in C; Appendix C Glossary of Image Processing Terms; Bibliography; Index; Color Plate Section |
| Summary |
This book introduces the fundamental concepts of modern digital image processing. It aims to help the students, scientists, and practitioners to understand the concepts through clear explanations, illustrations and examples. The discussion of the general concepts is supplemented with examples from applications and ready-to-use implementations of concepts in MATLAB®. Program code of some important concepts in programming language 'C' is provided. To explain the concepts, MATLAB® functions are used throughout the book. MATLAB® Version 9.3 (R2017b), Image Acquisition Toolbox Version 5.3 (R2017b), Image Processing Toolbox, Version 10.1 (R2017b) have been used to create the book material. Meant for students and practicing engineers, this book provides a clear, comprehensive and up-to-date introduction to Digital Image Processing in a pragmatic manner |
| Notes |
Print version record |
| Subject |
Image processing -- Digital techniques.
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digital imaging.
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TECHNOLOGY & ENGINEERING -- Electronics -- General.
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TECHNOLOGY & ENGINEERING -- Imaging Systems.
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Content-Based Image Retrieval, Color Image Processing.
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Image Compression.
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Image Security.
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Image Watermarking, Image Analysis and Image Restoration.
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Pattern Recognition.
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Video Compression.
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Image processing -- Digital techniques
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| Form |
Electronic book
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| ISBN |
9781351342667 |
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1351342665 |
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