Presentation	2011-03-04 An edge detection method from mixed noisy image used by modified noise information Satoru ISHII, Tomoaki KIMURA, Akira TAGUCHI,
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Abstract(in English)	We purposed a new noise detection method using by sorting local information. And new impulse noise detection was proposed from the sorting information. Furthermore, multiple information was connected by Fuzzy inference. Proposed method is able to detect edge information from mixed noisy images that is 3% of impulse noise and variance 100 of gaussian noise.
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Keyword(in English)	Edge detection / Mixed noise / Fuzzy inference
Paper #	SIS2010-69
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Conference Information
Committee	SIS
Conference Date	2011/2/24(1days)
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Registration To	Smart Info-Media Systems (SIS)
Language	JPN
Title (in Japanese)	(See Japanese page)
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Title (in English)	An edge detection method from mixed noisy image used by modified noise information
Sub Title (in English)
Keyword(1)	Edge detection
Keyword(2)	Mixed noise
Keyword(3)	Fuzzy inference
1st Author's Name	Satoru ISHII
1st Author's Affiliation	School of Engineering, Kanagwa Instiute of Technology()
2nd Author's Name	Tomoaki KIMURA
2nd Author's Affiliation	Faculty of Engineering Tokyo city University
3rd Author's Name	Akira TAGUCHI
3rd Author's Affiliation	Faculty of Engineering Tokyo city University
Date	2011-03-04
Paper #	SIS2010-69
Volume (vol)	vol.110
Number (no)	445
Page	pp.pp.-
#Pages	6
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