Spatial correlation coefficient images for ultrasonic detection

Raina Cepel; K. C. Ho; Brett A. Rinker; Donald D. Palmer; Terrence P. Lerch; Steven P. Neal

doi:10.1109/TUFFC.2007.468

Spatial correlation coefficient images for ultrasonic detection

Raina Cepel, K. C. Ho, Brett A. Rinker, Donald D. Palmer, Terrence P. Lerch, Steven P. Neal

Engineering & Technology, School Of

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

In ultrasonics, image formation and detection are generally based on signal amplitude. In this paper, we introduce correlation coefficient images as a signalamplitude independent approach for image formation. The correlation coefficients are calculated between A-scans digitized at adjacent measurement positions. In these images, defects are revealed as regions of high or low correlation relative to the background correlations associated with noise. Correlation coefficient and C-scan images are shown to demonstrate fiat-bottom-hole detection in a stainless steel annular ring and crack detection in an aluminum aircraft structure.

Original language	English
Pages (from-to)	1841-1849
Number of pages	9
Journal	IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Volume	54
Issue number	9
DOIs	https://doi.org/10.1109/TUFFC.2007.468
State	Published - Sep 2007

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title = "Spatial correlation coefficient images for ultrasonic detection",

abstract = "In ultrasonics, image formation and detection are generally based on signal amplitude. In this paper, we introduce correlation coefficient images as a signalamplitude independent approach for image formation. The correlation coefficients are calculated between A-scans digitized at adjacent measurement positions. In these images, defects are revealed as regions of high or low correlation relative to the background correlations associated with noise. Correlation coefficient and C-scan images are shown to demonstrate fiat-bottom-hole detection in a stainless steel annular ring and crack detection in an aluminum aircraft structure.",

author = "Raina Cepel and Ho, {K. C.} and Rinker, {Brett A.} and Palmer, {Donald D.} and Lerch, {Terrence P.} and Neal, {Steven P.}",

note = "Funding Information: Manuscript received August 7, 2006; accepted May 4, 2007. This work was supported by the Center for Aerospace Manufacturing Technology (CAMT) at the University of Missouri-Rolla (UMR) funded under Air Force Research Laboratory Contract FA8650-04-C-5704 and by Boeing under PO Z40791. Previous support for development of the correlation approach was provided by Honeywell Federal Manufacturing and Technology and by the National Science Foundation (NSF CMS 9610189).",

year = "2007",

month = sep,

doi = "10.1109/TUFFC.2007.468",

language = "English",

volume = "54",

pages = "1841--1849",

journal = "IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control",

issn = "0885-3010",

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TY - JOUR

T1 - Spatial correlation coefficient images for ultrasonic detection

AU - Cepel, Raina

AU - Ho, K. C.

AU - Rinker, Brett A.

AU - Palmer, Donald D.

AU - Lerch, Terrence P.

AU - Neal, Steven P.

N1 - Funding Information: Manuscript received August 7, 2006; accepted May 4, 2007. This work was supported by the Center for Aerospace Manufacturing Technology (CAMT) at the University of Missouri-Rolla (UMR) funded under Air Force Research Laboratory Contract FA8650-04-C-5704 and by Boeing under PO Z40791. Previous support for development of the correlation approach was provided by Honeywell Federal Manufacturing and Technology and by the National Science Foundation (NSF CMS 9610189).

PY - 2007/9

Y1 - 2007/9

N2 - In ultrasonics, image formation and detection are generally based on signal amplitude. In this paper, we introduce correlation coefficient images as a signalamplitude independent approach for image formation. The correlation coefficients are calculated between A-scans digitized at adjacent measurement positions. In these images, defects are revealed as regions of high or low correlation relative to the background correlations associated with noise. Correlation coefficient and C-scan images are shown to demonstrate fiat-bottom-hole detection in a stainless steel annular ring and crack detection in an aluminum aircraft structure.

AB - In ultrasonics, image formation and detection are generally based on signal amplitude. In this paper, we introduce correlation coefficient images as a signalamplitude independent approach for image formation. The correlation coefficients are calculated between A-scans digitized at adjacent measurement positions. In these images, defects are revealed as regions of high or low correlation relative to the background correlations associated with noise. Correlation coefficient and C-scan images are shown to demonstrate fiat-bottom-hole detection in a stainless steel annular ring and crack detection in an aluminum aircraft structure.

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DO - 10.1109/TUFFC.2007.468

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JO - IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

JF - IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

IS - 9

ER -

Spatial correlation coefficient images for ultrasonic detection

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