Morphologic segmentation algorithms for extracting individual surface features from areal surface topography maps

Nicola Senin, Liam A. Blunt, Richard K. Leach, Stefano Pini

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Areal segmentation, i.e. the partitioning of areal surface topography data into regions, has recently attracted significant research interest in surface metrology. In particular morphologic segmentation, i.e. partitioning into Maxwellian hills and dales - currently the only segmentation approach endorsed by ISO specification standards - has shown potential for capturing the salient traits of a surface, so that its surface texture can be better encoded by parameters. However, recent developments in dimensional metrology applied to structured surfaces with features of dimensions on the order of micrometres (micro-electromechanical system, microfluidics, etc), and many other studies aimed at characterizing individual features in unstructured surfaces (scratches, bumps, holes, etc), are showing the importance of segmentation for extracting localized features from areal data. In this work, morphologic segmentation is applied to a selected set of case studies of industrial relevance, involving structured, semi-structured and unstructured surfaces, where the main goal is not the assessment of surface texture, but the extraction of individual surface features. The examples are designed to provide an overview of the main advantages and issues when applying morphologic segmentation in a comprehensive set of application scenarios.

Original languageEnglish
Article number015005
JournalSurface Topography: Metrology and Properties
Volume1
Issue number1
DOIs
Publication statusPublished - 1 Sep 2013

Fingerprint

Surface topography
topography
metrology
Textures
textures
Microfluidics
MEMS
microelectromechanical systems
micrometers
specifications
Specifications

Cite this

@article{2206e17ffa934e15be70bb30dbfab0d8,
title = "Morphologic segmentation algorithms for extracting individual surface features from areal surface topography maps",
abstract = "Areal segmentation, i.e. the partitioning of areal surface topography data into regions, has recently attracted significant research interest in surface metrology. In particular morphologic segmentation, i.e. partitioning into Maxwellian hills and dales - currently the only segmentation approach endorsed by ISO specification standards - has shown potential for capturing the salient traits of a surface, so that its surface texture can be better encoded by parameters. However, recent developments in dimensional metrology applied to structured surfaces with features of dimensions on the order of micrometres (micro-electromechanical system, microfluidics, etc), and many other studies aimed at characterizing individual features in unstructured surfaces (scratches, bumps, holes, etc), are showing the importance of segmentation for extracting localized features from areal data. In this work, morphologic segmentation is applied to a selected set of case studies of industrial relevance, involving structured, semi-structured and unstructured surfaces, where the main goal is not the assessment of surface texture, but the extraction of individual surface features. The examples are designed to provide an overview of the main advantages and issues when applying morphologic segmentation in a comprehensive set of application scenarios.",
author = "Nicola Senin and Blunt, {Liam A.} and Leach, {Richard K.} and Stefano Pini",
year = "2013",
month = "9",
day = "1",
doi = "10.1088/2051-672X/1/1/015005",
language = "English",
volume = "1",
journal = "Surface Topography: Metrology and Properties",
issn = "2051-672X",
publisher = "IOP Publishing Ltd.",
number = "1",

}

Morphologic segmentation algorithms for extracting individual surface features from areal surface topography maps. / Senin, Nicola; Blunt, Liam A.; Leach, Richard K.; Pini, Stefano.

In: Surface Topography: Metrology and Properties, Vol. 1, No. 1, 015005, 01.09.2013.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Morphologic segmentation algorithms for extracting individual surface features from areal surface topography maps

AU - Senin, Nicola

AU - Blunt, Liam A.

AU - Leach, Richard K.

AU - Pini, Stefano

PY - 2013/9/1

Y1 - 2013/9/1

N2 - Areal segmentation, i.e. the partitioning of areal surface topography data into regions, has recently attracted significant research interest in surface metrology. In particular morphologic segmentation, i.e. partitioning into Maxwellian hills and dales - currently the only segmentation approach endorsed by ISO specification standards - has shown potential for capturing the salient traits of a surface, so that its surface texture can be better encoded by parameters. However, recent developments in dimensional metrology applied to structured surfaces with features of dimensions on the order of micrometres (micro-electromechanical system, microfluidics, etc), and many other studies aimed at characterizing individual features in unstructured surfaces (scratches, bumps, holes, etc), are showing the importance of segmentation for extracting localized features from areal data. In this work, morphologic segmentation is applied to a selected set of case studies of industrial relevance, involving structured, semi-structured and unstructured surfaces, where the main goal is not the assessment of surface texture, but the extraction of individual surface features. The examples are designed to provide an overview of the main advantages and issues when applying morphologic segmentation in a comprehensive set of application scenarios.

AB - Areal segmentation, i.e. the partitioning of areal surface topography data into regions, has recently attracted significant research interest in surface metrology. In particular morphologic segmentation, i.e. partitioning into Maxwellian hills and dales - currently the only segmentation approach endorsed by ISO specification standards - has shown potential for capturing the salient traits of a surface, so that its surface texture can be better encoded by parameters. However, recent developments in dimensional metrology applied to structured surfaces with features of dimensions on the order of micrometres (micro-electromechanical system, microfluidics, etc), and many other studies aimed at characterizing individual features in unstructured surfaces (scratches, bumps, holes, etc), are showing the importance of segmentation for extracting localized features from areal data. In this work, morphologic segmentation is applied to a selected set of case studies of industrial relevance, involving structured, semi-structured and unstructured surfaces, where the main goal is not the assessment of surface texture, but the extraction of individual surface features. The examples are designed to provide an overview of the main advantages and issues when applying morphologic segmentation in a comprehensive set of application scenarios.

UR - http://www.scopus.com/inward/record.url?scp=84979197268&partnerID=8YFLogxK

U2 - 10.1088/2051-672X/1/1/015005

DO - 10.1088/2051-672X/1/1/015005

M3 - Article

VL - 1

JO - Surface Topography: Metrology and Properties

JF - Surface Topography: Metrology and Properties

SN - 2051-672X

IS - 1

M1 - 015005

ER -