Image de-noising via spectral distribution similarity analysis for non-destructive evaluation

Anthony Gachagan; Bo Xiao; Rui Gongzhang; Richard O'Leary; Minghui Li

Image de-noising via spectral distribution similarity analysis for non-destructive evaluation

Anthony Gachagan, Bo Xiao, Rui Gongzhang, Richard O'Leary, Minghui Li

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper looks at image de-nosing via spectral distribution similarity analysis for non-destructive evaluation

Original language	English
Publication status	Published - 2013
Event	40th Annual Review of Progress in Quantitative Nondestructive Evaluation: Incorporating the 10th International Conference on Barkhausen Noise and Micromagnetic Testing - Baltimore, United States Duration: 21 Jul 2013 → 26 Jul 2013

Conference

Conference	40th Annual Review of Progress in Quantitative Nondestructive Evaluation: Incorporating the 10th International Conference on Barkhausen Noise and Micromagnetic Testing
Country/Territory	United States
City	Baltimore
Period	21/07/13 → 26/07/13

Keywords

non-destructive evaluation
image de-nosing
spectral distribution similarity analysis

New Methods For Ultrasonic NDE Of Difficult Materials
Gachagan, A. (Principal Investigator), Li, M. (Co-investigator), Mulholland, A. (Co-investigator) & O'Leary, R. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/08/11 → 31/07/14
Project: Research

Cite this

Gachagan, A., Xiao, B., Gongzhang, R., O'Leary, R., & Li, M. (2013). Image de-noising via spectral distribution similarity analysis for non-destructive evaluation. Paper presented at 40th Annual Review of Progress in Quantitative Nondestructive Evaluation: Incorporating the 10th International Conference on Barkhausen Noise and Micromagnetic Testing, Baltimore, United States.

@conference{c7fe476fc10c4e1abbe9c96a47c4a497,

title = "Image de-noising via spectral distribution similarity analysis for non-destructive evaluation",

abstract = "This paper looks at image de-nosing via spectral distribution similarity analysis for non-destructive evaluation",

keywords = "non-destructive evaluation, image de-nosing, spectral distribution similarity analysis",

author = "Anthony Gachagan and Bo Xiao and Rui Gongzhang and Richard O'Leary and Minghui Li",

year = "2013",

language = "English",

note = "40th Annual Review of Progress in Quantitative Nondestructive Evaluation: Incorporating the 10th International Conference on Barkhausen Noise and Micromagnetic Testing ; Conference date: 21-07-2013 Through 26-07-2013",

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Gachagan, A, Xiao, B, Gongzhang, R, O'Leary, R & Li, M 2013, 'Image de-noising via spectral distribution similarity analysis for non-destructive evaluation', Paper presented at 40th Annual Review of Progress in Quantitative Nondestructive Evaluation: Incorporating the 10th International Conference on Barkhausen Noise and Micromagnetic Testing, Baltimore, United States, 21/07/13 - 26/07/13.

Image de-noising via spectral distribution similarity analysis for non-destructive evaluation. / Gachagan, Anthony; Xiao, Bo; Gongzhang, Rui et al.
2013. Paper presented at 40th Annual Review of Progress in Quantitative Nondestructive Evaluation: Incorporating the 10th International Conference on Barkhausen Noise and Micromagnetic Testing, Baltimore, United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Image de-noising via spectral distribution similarity analysis for non-destructive evaluation

AU - Gachagan, Anthony

AU - Xiao, Bo

AU - Gongzhang, Rui

AU - O'Leary, Richard

AU - Li, Minghui

PY - 2013

Y1 - 2013

N2 - This paper looks at image de-nosing via spectral distribution similarity analysis for non-destructive evaluation

AB - This paper looks at image de-nosing via spectral distribution similarity analysis for non-destructive evaluation

KW - non-destructive evaluation

KW - image de-nosing

KW - spectral distribution similarity analysis

M3 - Paper

T2 - 40th Annual Review of Progress in Quantitative Nondestructive Evaluation: Incorporating the 10th International Conference on Barkhausen Noise and Micromagnetic Testing

Y2 - 21 July 2013 through 26 July 2013

ER -

Image de-noising via spectral distribution similarity analysis for non-destructive evaluation

Abstract

Conference

Keywords

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Projects

New Methods For Ultrasonic NDE Of Difficult Materials

Cite this