Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach
Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own imag...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer US
2004
|
| Ausgabe: | 1st ed. 2004 |
| Schlagworte: | |
| Online-Zugang: | UBY01 Volltext |
| Zusammenfassung: | Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own image processing applications. In particular, such topics as hypothesis test-based detection, fast active contour segmentation and algorithm design for non-conventional imaging systems are comprehensively treated, from theoretical foundations to practical implementations. With a large number of illustrations and practical examples, this book serves as an excellent textbook or reference book for senior or graduate level courses on statistical signal/image processing, as well as a reference for researchers in related fields |
| Beschreibung: | 1 Online-Ressource (XIII, 254 p. 93 illus) |
| ISBN: | 9781441988553 |
| DOI: | 10.1007/978-1-4419-8855-3 |
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| doi_str_mv | 10.1007/978-1-4419-8855-3 |
| edition | 1st ed. 2004 |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:12:21Z |
| indexdate | 2024-07-10T09:01:34Z |
| institution | BVB |
| isbn | 9781441988553 |
| language | English |
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| spelling | Réfrégier, Phillipe Verfasser aut Statistical Image Processing Techniques for Noisy Images An Application-Oriented Approach by Phillipe Réfrégier, François Goudail 1st ed. 2004 New York, NY Springer US 2004 1 Online-Ressource (XIII, 254 p. 93 illus) txt rdacontent c rdamedia cr rdacarrier Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own image processing applications. In particular, such topics as hypothesis test-based detection, fast active contour segmentation and algorithm design for non-conventional imaging systems are comprehensively treated, from theoretical foundations to practical implementations. With a large number of illustrations and practical examples, this book serves as an excellent textbook or reference book for senior or graduate level courses on statistical signal/image processing, as well as a reference for researchers in related fields Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Remote Sensing/Photogrammetry Optics, Lasers, Photonics, Optical Devices Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Optical data processing Remote sensing Lasers Photonics Statistics Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf Rauschen (DE-588)4048606-0 gnd rswk-swf Rauschen (DE-588)4048606-0 s DE-604 Bildverarbeitung (DE-588)4006684-8 s Goudail, François aut Erscheint auch als Druck-Ausgabe 9781461346920 Erscheint auch als Druck-Ausgabe 9781441988560 Erscheint auch als Druck-Ausgabe 9780306478659 https://doi.org/10.1007/978-1-4419-8855-3 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Réfrégier, Phillipe Goudail, François Statistical Image Processing Techniques for Noisy Images An Application-Oriented Approach Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Remote Sensing/Photogrammetry Optics, Lasers, Photonics, Optical Devices Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Optical data processing Remote sensing Lasers Photonics Statistics Bildverarbeitung (DE-588)4006684-8 gnd Rauschen (DE-588)4048606-0 gnd |
| subject_GND | (DE-588)4006684-8 (DE-588)4048606-0 |
| title | Statistical Image Processing Techniques for Noisy Images An Application-Oriented Approach |
| title_auth | Statistical Image Processing Techniques for Noisy Images An Application-Oriented Approach |
| title_exact_search | Statistical Image Processing Techniques for Noisy Images An Application-Oriented Approach |
| title_exact_search_txtP | Statistical Image Processing Techniques for Noisy Images An Application-Oriented Approach |
| title_full | Statistical Image Processing Techniques for Noisy Images An Application-Oriented Approach by Phillipe Réfrégier, François Goudail |
| title_fullStr | Statistical Image Processing Techniques for Noisy Images An Application-Oriented Approach by Phillipe Réfrégier, François Goudail |
| title_full_unstemmed | Statistical Image Processing Techniques for Noisy Images An Application-Oriented Approach by Phillipe Réfrégier, François Goudail |
| title_short | Statistical Image Processing Techniques for Noisy Images |
| title_sort | statistical image processing techniques for noisy images an application oriented approach |
| title_sub | An Application-Oriented Approach |
| topic | Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Remote Sensing/Photogrammetry Optics, Lasers, Photonics, Optical Devices Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Optical data processing Remote sensing Lasers Photonics Statistics Bildverarbeitung (DE-588)4006684-8 gnd Rauschen (DE-588)4048606-0 gnd |
| topic_facet | Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Remote Sensing/Photogrammetry Optics, Lasers, Photonics, Optical Devices Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Optical data processing Remote sensing Lasers Photonics Statistics Bildverarbeitung Rauschen |
| url | https://doi.org/10.1007/978-1-4419-8855-3 |
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