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Record Nr. |
UNINA9910254848203321 |
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Autore |
Sundararajan D |
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Titolo |
Digital Image Processing : A Signal Processing and Algorithmic Approach / / by D. Sundararajan |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XVII, 468 p. 182 illus., 17 illus. in color.) |
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Disciplina |
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Soggetti |
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Optical data processing |
Artificial intelligence |
Signal processing |
Image processing |
Speech processing systems |
Automatic control |
Robotics |
Mechatronics |
Radiology |
Image Processing and Computer Vision |
Artificial Intelligence |
Signal, Image and Speech Processing |
Control, Robotics, Mechatronics |
Imaging / Radiology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1. Introduction -- Chapter 2. Image Enhancement in the Spatial Domain -- Chapter 3. Fourier Analysis -- Chapter 4. Image Enhancement in the Frequency Domain -- Chapter 5. Image Restoration -- Chapter 6. Geometric Transformations and Image Registration -- Chapter 7. Image Reconstruction from Projections -- Chapter 8. Morphological Image Processing -- Chapter 9. Edge Detection -- Chapter 10. Segmentation -- Chapter 11. Object Description -- Chapter 12. Object Classification -- Chapter 13. Image Compression -- Chapter 14. Color Image Processing. |
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Sommario/riassunto |
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This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and algorithmic approach, it makes the fundamentals of digital image processing accessible and easy to learn. It is written in a clear and concise manner with a large number of 4 x 4 and 8 x 8 examples, figures and detailed explanations. Each concept is developed from the basic principles and described in detail with equal emphasis on theory and practice. The book is accompanied by a companion website that provides several MATLAB programs for the implementation of image processing algorithms. The book also offers comprehensive coverage of the following topics: Enhancement, Transform processing, Restoration, Registration, Reconstruction from projections, Morphological image processing, Edge detection, Object representation and classification, Compression, and Color processing. |
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