Comparing the performance of various filters on skin cancer images

Hoshyar, AN; Al-Jumaily, A

Comparing the performance of various filters on skin cancer images

Hoshyar, AN Al-Jumaily, A

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Publication Type:: Journal Article
Citation:: Procedia Computer Science, 2014, 42 (C), pp. 32 - 37
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Hoshyar, AN	en_US
dc.contributor.author	Al-Jumaily, A https://orcid.org/0000-0003-0297-2463	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	Procedia Computer Science, 2014, 42 (C), pp. 32 - 37	en_US
dc.identifier.uri	http://hdl.handle.net/10453/34996
dc.description.abstract	© 2014 The Authors. Noise removing from an image is an important task in different applications such as medical which the noise free images could leads to less error detection. Filtering as a tool for noise removal is concerned in this paper. The purpose is to compare the performance of five filters - Median Filter, Adaptive Median Filter, Mean Filter, Gaussian Filter and Adaptive Wiener filter-for de-noising from Gaussian noise, Salt & Pepper noise, Poisson noise and Speckle noise.	en_US
dc.relation.ispartof	Procedia Computer Science	en_US
dc.relation.isbasedon	10.1016/j.procs.2014.11.030	en_US
dc.title	Comparing the performance of various filters on skin cancer images	en_US
dc.type	Journal Article
utslib.citation.volume	C	en_US
utslib.citation.volume	42	en_US
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
utslib.for	080109 Pattern Recognition and Data Mining	en_US
utslib.for	080108 Neural, Evolutionary and Fuzzy Computation	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	10 Technology	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	open_access
pubs.issue	C	en_US
pubs.publication-status	Published	en_US
pubs.volume	42	en_US

Abstract:

© 2014 The Authors. Noise removing from an image is an important task in different applications such as medical which the noise free images could leads to less error detection. Filtering as a tool for noise removal is concerned in this paper. The purpose is to compare the performance of five filters - Median Filter, Adaptive Median Filter, Mean Filter, Gaussian Filter and Adaptive Wiener filter-for de-noising from Gaussian noise, Salt & Pepper noise, Poisson noise and Speckle noise.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/34996