Standard

Detection of Screw Threads in Computed Tomography 3D Density Fields. / Kosarevsky, S.; Latypov, V.

In: Measurement Science Review, Vol. 13, No. 6, 2013, p. 292-297.

Research output: Contribution to journal › Article

Harvard

Kosarevsky, S & Latypov, V 2013, 'Detection of Screw Threads in Computed Tomography 3D Density Fields', Measurement Science Review, vol. 13, no. 6, pp. 292-297. <http://www.scopus.com/record/display.url?eid=2-s2.0-84900850282&origin=resultslist&sort=plf-f&src=s&st1=Detection+of+Screw+Threads+in+Computed+Tomography+3D+Density+Fields&sid=8C404D8B85D2670AF2B08357C3ECAFC4.f594dyPDCy4K3aQHRor6A%3a420&sot=b&sdt=b&sl=82&s=TITLE-ABS-KEY%28Detection+of+Screw+Threads+in+Computed+Tomography+3D+Density+Fields%29&relpos=0&relpos=0&citeCnt=0&searchTerm=TITLE-ABS-KEY%28Detection+of+Screw+Threads+in+Computed+Tomography+3D+Density+Fields%29>

APA

Kosarevsky, S., & Latypov, V. (2013). Detection of Screw Threads in Computed Tomography 3D Density Fields. Measurement Science Review, 13(6), 292-297. http://www.scopus.com/record/display.url?eid=2-s2.0-84900850282&origin=resultslist&sort=plf-f&src=s&st1=Detection+of+Screw+Threads+in+Computed+Tomography+3D+Density+Fields&sid=8C404D8B85D2670AF2B08357C3ECAFC4.f594dyPDCy4K3aQHRor6A%3a420&sot=b&sdt=b&sl=82&s=TITLE-ABS-KEY%28Detection+of+Screw+Threads+in+Computed+Tomography+3D+Density+Fields%29&relpos=0&relpos=0&citeCnt=0&searchTerm=TITLE-ABS-KEY%28Detection+of+Screw+Threads+in+Computed+Tomography+3D+Density+Fields%29

Vancouver

Kosarevsky S, Latypov V. Detection of Screw Threads in Computed Tomography 3D Density Fields. Measurement Science Review. 2013;13(6):292-297.

Author

Kosarevsky, S. ; Latypov, V. / Detection of Screw Threads in Computed Tomography 3D Density Fields. In: Measurement Science Review. 2013 ; Vol. 13, No. 6. pp. 292-297.

BibTeX

@article{4ed22a18333946ce8502ad21cb459551,
title = "Detection of Screw Threads in Computed Tomography 3D Density Fields",
abstract = "Measurements and inspection in production must be rapid, robust and automated. In this paper a new method is proposed to automatically detect screw threads in 3D density fields obtained from computed tomography measurement devices. The described method can be used to automate many operations during screw thread inspection process and drastically reduce operator{\textquoteright}s influence on the measurement process resulting in lower measurement times and increased repeatability.",
keywords = "Coordinate metrology, computed tomography, screw thread",
author = "S. Kosarevsky and V. Latypov",
year = "2013",
language = "English",
volume = "13",
pages = "292--297",
journal = "Measurement Science Review",
issn = "1335-8871",
publisher = "Slovak Academy of Sciences - Inst. Measurement Science",
number = "6",

}

RIS

TY - JOUR

T1 - Detection of Screw Threads in Computed Tomography 3D Density Fields

AU - Kosarevsky, S.

AU - Latypov, V.

PY - 2013

Y1 - 2013

N2 - Measurements and inspection in production must be rapid, robust and automated. In this paper a new method is proposed to automatically detect screw threads in 3D density fields obtained from computed tomography measurement devices. The described method can be used to automate many operations during screw thread inspection process and drastically reduce operator’s influence on the measurement process resulting in lower measurement times and increased repeatability.

AB - Measurements and inspection in production must be rapid, robust and automated. In this paper a new method is proposed to automatically detect screw threads in 3D density fields obtained from computed tomography measurement devices. The described method can be used to automate many operations during screw thread inspection process and drastically reduce operator’s influence on the measurement process resulting in lower measurement times and increased repeatability.

KW - Coordinate metrology

KW - computed tomography

KW - screw thread

M3 - Article

VL - 13

SP - 292

EP - 297

JO - Measurement Science Review

JF - Measurement Science Review

SN - 1335-8871

IS - 6

ER -

ID: 5683372