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001-es BibID:BIBFORM063702
Első szerző:Azodinia, Mohammadreza (informatikus)
Cím:Constant time median filtering of extra large images using Hadoop [elektronikus dokumentum] / Mohammadreza Azodinia, Vahid Farrokhi, Andras Hajdu
Dátum:2015
Megjegyzések:Letöltés ideje: 2016.09.19.
The spatial resolution of remote sensing and medical images such as MRI,CT and PET are constantly increasing and analyzing these images in real timeis a challenging task. But this limits the efficiency of many image processing algorithms. Among different efficient image processing algorithms, median filtering is a principal element in many image processing situations which manages to reduce the noise while preserving the edges. Median Filteringin Constant Time (MFCT) is a simple yet fastest median filtering algorithm which can handle N-dimensional data in fields like medical imaging and astronomy. With trend toward the median filtering of large images and proportionally large kernels, Hadoop MapReduce (a popular big data processing engine) can be applied and utilized. MapReduce provides the simplicity of defining the map and reduce functions while the framework takes care of parallelization and failover automatically. Hence, in this paper we discuss on possibility of the incorporation of MFCT algorithm with Hadoop MapReduce framework to improve the performance of processing of extra large images.
Hozzáférés: Internet
ISBN:978 615 5297 18 2
Tárgyszavak:Műszaki tudományok Informatikai tudományok könyvfejezet
median filtering
MFCT
MapReduce
Hadoop
parallelization
Megjelenés:Proceedings of the 9th International Conference on Applied Informatics January 29 - Februar 1, 2014. Eger, Hungary Volume I [elektronikus dokumentum] / ed. by Kovács Emőd, Kusper Gábor, Kunkli Roland, Tómács Tibor. - Vol. 1., p. 93-101. -
További szerzők:Farrokhi, Vahid (1966-) (informatikus) Hajdu András (1973-) (matematikus, informatikus)
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