Endoscopy video analysis algorithms and their independence of rotation , brightness , contrast , color and blur - Publikacja - MOST Wiedzy

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Endoscopy video analysis algorithms and their independence of rotation , brightness , contrast , color and blur

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The article presents selected image analysis algorithms for endoscopy videos. Mathematical methods that are part of these algorithms are described, and authors’ claims about the characteristics of these algorithms, such as the independence of rotation, brightness, contrast, etc. are mentioned. Using the common test on the real endoscopic image database and a set of image transformations, the validity of these claims was checked and compared between algorithms. Many of the results seem to differ from the declaration of the authors, sometimes even strongly denying them. In addition, some algorithms were found extraordinary sensitive to blurring of the images, which indicates the possibility of using them for the detection of blurry frames, not just diseases.

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Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Opublikowano w:
International Journal of Innovative Research in Computer and Communication Engineering nr 2, wydanie 8, strony 5298 - 5303,
ISSN: 2320-9798
Język:
angielski
Rok wydania:
2014
Opis bibliograficzny:
Cychnerski J.: Endoscopy video analysis algorithms and their independence of rotation , brightness , contrast , color and blur// Internatio nal Journal of Innovative Research in Computer and Communication Engineering. -Vol. 2., iss. 8 (2014), s.5298-5303
Weryfikacja:
Politechnika Gdańska

wyświetlono 65 razy

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