Machine Vision: Theory, Algorithms, Practicalities
In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed i...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Burlington
Elsevier Science
2004
|
| Ausgabe: | 3rd ed |
| Schriftenreihe: | Signal Processing and its Applications
|
| Schlagworte: | |
| Zusammenfassung: | In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed images. While researchers and industry specialists continue to document their work in this area, it has become increasingly difficult for professionals and graduate students to understand the essential theory and practicalities well enough to design their own algorithms and systems. This book directly addresses this need. As in earlier editions, E.R. Davies clearly and systematically presents the basic concepts of the field in highly accessible prose and images, covering essential elements of the theory while emphasizing algorithmic and practical design constraints. In this thoroughly updated edition, he divides the material into horizontal levels of a complete machine vision system. Application case studies demonstrate specific techniques and illustrate key constraints for designing real-world machine vision systems. · Includes solid, accessible coverage of 2-D and 3-D scene analysis. · Offers thorough treatment of the Hough Transform-a key technique for inspection and surveillance. · Brings vital topics and techniques together in an integrated system design approach. · Takes full account of the requirement for real-time processing in real applications |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 online resource (973 pages) |
| ISBN: | 9780080473246 9780122060939 |
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Datensatz im Suchindex
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| dewey-full | 006.37 |
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| discipline | Informatik |
| edition | 3rd ed |
| format | Electronic eBook |
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| indexdate | 2024-07-10T07:42:09Z |
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| series2 | Signal Processing and its Applications |
| spelling | Davies, E. R. Verfasser aut Machine Vision Theory, Algorithms, Practicalities 3rd ed Burlington Elsevier Science 2004 © 2005 1 online resource (973 pages) txt rdacontent c rdamedia cr rdacarrier Signal Processing and its Applications Description based on publisher supplied metadata and other sources In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed images. While researchers and industry specialists continue to document their work in this area, it has become increasingly difficult for professionals and graduate students to understand the essential theory and practicalities well enough to design their own algorithms and systems. This book directly addresses this need. As in earlier editions, E.R. Davies clearly and systematically presents the basic concepts of the field in highly accessible prose and images, covering essential elements of the theory while emphasizing algorithmic and practical design constraints. In this thoroughly updated edition, he divides the material into horizontal levels of a complete machine vision system. Application case studies demonstrate specific techniques and illustrate key constraints for designing real-world machine vision systems. · Includes solid, accessible coverage of 2-D and 3-D scene analysis. · Offers thorough treatment of the Hough Transform-a key technique for inspection and surveillance. · Brings vital topics and techniques together in an integrated system design approach. · Takes full account of the requirement for real-time processing in real applications Computer algorithms Computer vision Computer vision. Computer algorithms Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 s 1\p DE-604 Erscheint auch als Druck-Ausgabe Davies, E R.. Machine Vision : Theory, Algorithms, Practicalities 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Davies, E. R. Machine Vision Theory, Algorithms, Practicalities Computer algorithms Computer vision Computer vision. Computer algorithms Maschinelles Sehen (DE-588)4129594-8 gnd |
| subject_GND | (DE-588)4129594-8 |
| title | Machine Vision Theory, Algorithms, Practicalities |
| title_auth | Machine Vision Theory, Algorithms, Practicalities |
| title_exact_search | Machine Vision Theory, Algorithms, Practicalities |
| title_full | Machine Vision Theory, Algorithms, Practicalities |
| title_fullStr | Machine Vision Theory, Algorithms, Practicalities |
| title_full_unstemmed | Machine Vision Theory, Algorithms, Practicalities |
| title_short | Machine Vision |
| title_sort | machine vision theory algorithms practicalities |
| title_sub | Theory, Algorithms, Practicalities |
| topic | Computer algorithms Computer vision Computer vision. Computer algorithms Maschinelles Sehen (DE-588)4129594-8 gnd |
| topic_facet | Computer algorithms Computer vision Computer vision. Computer algorithms Maschinelles Sehen |
| work_keys_str_mv | AT davieser machinevisiontheoryalgorithmspracticalities |