Identification of individual features in areal surface topography data by means of template matching and the ring projection transform

Nicola Senin, Michele Moretti, Liam A. Blunt

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Starting from areal surface topography data as provided by current commercial three-dimensional (3D) profilometers and 3D digital microscopes, this work investigates the problem of automatically identifying and extracting functionally relevant, individual features within the acquisition area. Feature identification is achieved by adopting an original template-matching algorithmic procedure, based on applying the ring projection transform in combination with a parametric template. The proposed algorithmic procedure addresses in particular template-matching scenarios where significant variability may be associated with the features to be compared to the reference template. The algorithm is applied to a test case involving the characterization of the surface texture of a superabrasive polishing tool used in hard-disk manufacturing.

Original languageEnglish
Article numbere014007
JournalSurface Topography: Metrology and Properties
Volume2
Issue number1
DOIs
Publication statusPublished - 1 Jan 2014

Fingerprint

Template matching
Surface topography
topography
templates
projection
Hard disk storage
rings
Polishing
Microscopes
Textures
profilometers
polishing
acquisition
textures
manufacturing
microscopes

Cite this

@article{c268a9ac533e42eca63b352327b2731d,
title = "Identification of individual features in areal surface topography data by means of template matching and the ring projection transform",
abstract = "Starting from areal surface topography data as provided by current commercial three-dimensional (3D) profilometers and 3D digital microscopes, this work investigates the problem of automatically identifying and extracting functionally relevant, individual features within the acquisition area. Feature identification is achieved by adopting an original template-matching algorithmic procedure, based on applying the ring projection transform in combination with a parametric template. The proposed algorithmic procedure addresses in particular template-matching scenarios where significant variability may be associated with the features to be compared to the reference template. The algorithm is applied to a test case involving the characterization of the surface texture of a superabrasive polishing tool used in hard-disk manufacturing.",
keywords = "Areal surface topography data, Feature identification, Ring projection transform, Template matching",
author = "Nicola Senin and Michele Moretti and Blunt, {Liam A.}",
year = "2014",
month = "1",
day = "1",
doi = "10.1088/2051-672X/2/1/014007",
language = "English",
volume = "2",
journal = "Surface Topography: Metrology and Properties",
issn = "2051-672X",
publisher = "IOP Publishing Ltd.",
number = "1",

}

TY - JOUR

T1 - Identification of individual features in areal surface topography data by means of template matching and the ring projection transform

AU - Senin, Nicola

AU - Moretti, Michele

AU - Blunt, Liam A.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Starting from areal surface topography data as provided by current commercial three-dimensional (3D) profilometers and 3D digital microscopes, this work investigates the problem of automatically identifying and extracting functionally relevant, individual features within the acquisition area. Feature identification is achieved by adopting an original template-matching algorithmic procedure, based on applying the ring projection transform in combination with a parametric template. The proposed algorithmic procedure addresses in particular template-matching scenarios where significant variability may be associated with the features to be compared to the reference template. The algorithm is applied to a test case involving the characterization of the surface texture of a superabrasive polishing tool used in hard-disk manufacturing.

AB - Starting from areal surface topography data as provided by current commercial three-dimensional (3D) profilometers and 3D digital microscopes, this work investigates the problem of automatically identifying and extracting functionally relevant, individual features within the acquisition area. Feature identification is achieved by adopting an original template-matching algorithmic procedure, based on applying the ring projection transform in combination with a parametric template. The proposed algorithmic procedure addresses in particular template-matching scenarios where significant variability may be associated with the features to be compared to the reference template. The algorithm is applied to a test case involving the characterization of the surface texture of a superabrasive polishing tool used in hard-disk manufacturing.

KW - Areal surface topography data

KW - Feature identification

KW - Ring projection transform

KW - Template matching

UR - http://www.scopus.com/inward/record.url?scp=84979195115&partnerID=8YFLogxK

U2 - 10.1088/2051-672X/2/1/014007

DO - 10.1088/2051-672X/2/1/014007

M3 - Article

VL - 2

JO - Surface Topography: Metrology and Properties

JF - Surface Topography: Metrology and Properties

SN - 2051-672X

IS - 1

M1 - e014007

ER -