Quaternion and Octonion color image processing with MATLAB:
"Color image processing has involved much interest in the recent years. The use of color in image processing is motivated by the facts that 1) the human eyes can discern thousands of colors, and image processing is used both for human interaction and computer interpretation; 2) the color image...
Gespeichert in:
Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Bellingham, Washington, USA
SPIE Press
[2018]
|
Schlagworte: | |
Online-Zugang: | FHD01 FHN01 URL des Erstveröffentlichers |
Zusammenfassung: | "Color image processing has involved much interest in the recent years. The use of color in image processing is motivated by the facts that 1) the human eyes can discern thousands of colors, and image processing is used both for human interaction and computer interpretation; 2) the color image comprises more information than the gray-level image; 3) the color features are robust to several image processing procedures (for example, to the translation and rotation of the regions of interest); 4) the color features are efficiently used in many vision tasks, including object recognition and tracking, image segmentation and retrieval, image registration etc.; 5) the color is necessary in many real life applications such as visual communications, multimedia systems, fashion and food industries, computer vision, entertainment, consumer electronics, production printing and proofing, digital photography, biometrics, digital artwork reproduction, industrial inspection, and biomedical applications. Finally, the enormous number of color images that constantly are uploaded into Internet require new approaches and challenges of big visual media creation, retrieval, processing, and applications. It also gives us new opportunities to create a number of big visual data-driven applications. Three independent quantities are used to describe any particular color; the human eyes are seen all colors as variable combinations of primary colors of red, green, and blue. Many methods of the modern color image processing are based on dealing out each primary color"... |
Beschreibung: | Includes bibliographical references and index |
Beschreibung: | 1 Online-Ressource |
ISBN: | 9781510611368 |
DOI: | 10.1117/3.2278810 |
Internformat
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520 | |a "Color image processing has involved much interest in the recent years. The use of color in image processing is motivated by the facts that 1) the human eyes can discern thousands of colors, and image processing is used both for human interaction and computer interpretation; 2) the color image comprises more information than the gray-level image; 3) the color features are robust to several image processing procedures (for example, to the translation and rotation of the regions of interest); 4) the color features are efficiently used in many vision tasks, including object recognition and tracking, image segmentation and retrieval, image registration etc.; 5) the color is necessary in many real life applications such as visual communications, multimedia systems, fashion and food industries, computer vision, entertainment, consumer electronics, production printing and proofing, digital photography, biometrics, digital artwork reproduction, industrial inspection, and biomedical applications. Finally, the enormous number of color images that constantly are uploaded into Internet require new approaches and challenges of big visual media creation, retrieval, processing, and applications. It also gives us new opportunities to create a number of big visual data-driven applications. Three independent quantities are used to describe any particular color; the human eyes are seen all colors as variable combinations of primary colors of red, green, and blue. Many methods of the modern color image processing are based on dealing out each primary color"... | ||
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Datensatz im Suchindex
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author | Grigoryan, Artyom M. Agaian, S. S. |
author_facet | Grigoryan, Artyom M. Agaian, S. S. |
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discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
doi_str_mv | 10.1117/3.2278810 |
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isbn | 9781510611368 |
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spelling | Grigoryan, Artyom M. aut Quaternion and Octonion color image processing with MATLAB Artyom M. Grigoryan and Sos S. Agaian Bellingham, Washington, USA SPIE Press [2018] © 2017 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index "Color image processing has involved much interest in the recent years. The use of color in image processing is motivated by the facts that 1) the human eyes can discern thousands of colors, and image processing is used both for human interaction and computer interpretation; 2) the color image comprises more information than the gray-level image; 3) the color features are robust to several image processing procedures (for example, to the translation and rotation of the regions of interest); 4) the color features are efficiently used in many vision tasks, including object recognition and tracking, image segmentation and retrieval, image registration etc.; 5) the color is necessary in many real life applications such as visual communications, multimedia systems, fashion and food industries, computer vision, entertainment, consumer electronics, production printing and proofing, digital photography, biometrics, digital artwork reproduction, industrial inspection, and biomedical applications. Finally, the enormous number of color images that constantly are uploaded into Internet require new approaches and challenges of big visual media creation, retrieval, processing, and applications. It also gives us new opportunities to create a number of big visual data-driven applications. Three independent quantities are used to describe any particular color; the human eyes are seen all colors as variable combinations of primary colors of red, green, and blue. Many methods of the modern color image processing are based on dealing out each primary color"... MATLAB. Image processing Digital techniques Mathematics Quaternions Color vision Color MATLAB (DE-588)4329066-8 gnd rswk-swf Farbbildverarbeitung (DE-588)4153692-7 gnd rswk-swf Farbbildverarbeitung (DE-588)4153692-7 s MATLAB (DE-588)4329066-8 s DE-604 Agaian, S. S. aut Erscheint auch als Online-Ausgabe, ePub 978-1-5106-1137-5 Erscheint auch als Online-Ausgabe, Kindle/Mobi 978-1-5106-1138-2 Erscheint auch als Druck-Ausgabe 978-1-5106-1135-1 https://doi.org/10.1117/3.2278810 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Grigoryan, Artyom M. Agaian, S. S. Quaternion and Octonion color image processing with MATLAB MATLAB. Image processing Digital techniques Mathematics Quaternions Color vision Color MATLAB (DE-588)4329066-8 gnd Farbbildverarbeitung (DE-588)4153692-7 gnd |
subject_GND | (DE-588)4329066-8 (DE-588)4153692-7 |
title | Quaternion and Octonion color image processing with MATLAB |
title_auth | Quaternion and Octonion color image processing with MATLAB |
title_exact_search | Quaternion and Octonion color image processing with MATLAB |
title_full | Quaternion and Octonion color image processing with MATLAB Artyom M. Grigoryan and Sos S. Agaian |
title_fullStr | Quaternion and Octonion color image processing with MATLAB Artyom M. Grigoryan and Sos S. Agaian |
title_full_unstemmed | Quaternion and Octonion color image processing with MATLAB Artyom M. Grigoryan and Sos S. Agaian |
title_short | Quaternion and Octonion color image processing with MATLAB |
title_sort | quaternion and octonion color image processing with matlab |
topic | MATLAB. Image processing Digital techniques Mathematics Quaternions Color vision Color MATLAB (DE-588)4329066-8 gnd Farbbildverarbeitung (DE-588)4153692-7 gnd |
topic_facet | MATLAB. Image processing Digital techniques Mathematics Quaternions Color vision Color MATLAB Farbbildverarbeitung |
url | https://doi.org/10.1117/3.2278810 |
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