Texture-based segmentation with Gabor filters, wavelet and pyramid decompositions for extracting individual surface features from areal surface topography maps

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

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Areal topography segmentation plays a fundamental role in those surface metrology applications concerned with the characterisation of individual topography features. Typical scenarios include the dimensional inspection and verification of micro-structured surface features, and the identification and characterisation of localised defects and other random singularities. While morphological segmentation into hills or dales is the only partitioning operation currently endorsed by the ISO specification standards on surface texture metrology, many other approaches are possible, in particular adapted from the literature on digital image segmentation. In this work an original segmentation approach is introduced and discussed, where topography partitioning is driven by information collected through the application of texture characterisation transforms popular in digital image processing. Gabor filters, wavelets and pyramid decompositions are investigated and applied to a selected set of test cases. The behaviour, performance and limitations of the proposed approach are discussed from the viewpoint of the identification and extraction of individual surface topography features.

LanguageEnglish
Article number095405
JournalMeasurement Science and Technology
Volume26
Issue number9
DOIs
Publication statusPublished - 1 Sep 2015

Fingerprint

Gabor filters
Surface Topography
Gabor Filter
Pyramid
Surface topography
Topography
pyramids
Texture
topography
Wavelets
Segmentation
textures
Textures
Metrology
Decomposition
decomposition
Decompose
Partitioning
metrology
Surface Texture

Cite this

@article{cdf6c31a0acc4ba79d9807780b428533,
title = "Texture-based segmentation with Gabor filters, wavelet and pyramid decompositions for extracting individual surface features from areal surface topography maps",
abstract = "Areal topography segmentation plays a fundamental role in those surface metrology applications concerned with the characterisation of individual topography features. Typical scenarios include the dimensional inspection and verification of micro-structured surface features, and the identification and characterisation of localised defects and other random singularities. While morphological segmentation into hills or dales is the only partitioning operation currently endorsed by the ISO specification standards on surface texture metrology, many other approaches are possible, in particular adapted from the literature on digital image segmentation. In this work an original segmentation approach is introduced and discussed, where topography partitioning is driven by information collected through the application of texture characterisation transforms popular in digital image processing. Gabor filters, wavelets and pyramid decompositions are investigated and applied to a selected set of test cases. The behaviour, performance and limitations of the proposed approach are discussed from the viewpoint of the identification and extraction of individual surface topography features.",
keywords = "Gabor filters, pyramid decompositions, Surface topography, texture-based segmentation, wavelet decomposition",
author = "Nicola Senin and Leach, {Richard K.} and Stefano Pini and Blunt, {Liam A.}",
year = "2015",
month = "9",
day = "1",
doi = "10.1088/0957-0233/26/9/095405",
language = "English",
volume = "26",
journal = "Measurement Science and Technology",
issn = "0957-0233",
publisher = "IOP Publishing",
number = "9",

}

Texture-based segmentation with Gabor filters, wavelet and pyramid decompositions for extracting individual surface features from areal surface topography maps. / Senin, Nicola; Leach, Richard K.; Pini, Stefano; Blunt, Liam A.

In: Measurement Science and Technology, Vol. 26, No. 9, 095405, 01.09.2015.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Texture-based segmentation with Gabor filters, wavelet and pyramid decompositions for extracting individual surface features from areal surface topography maps

AU - Senin, Nicola

AU - Leach, Richard K.

AU - Pini, Stefano

AU - Blunt, Liam A.

PY - 2015/9/1

Y1 - 2015/9/1

N2 - Areal topography segmentation plays a fundamental role in those surface metrology applications concerned with the characterisation of individual topography features. Typical scenarios include the dimensional inspection and verification of micro-structured surface features, and the identification and characterisation of localised defects and other random singularities. While morphological segmentation into hills or dales is the only partitioning operation currently endorsed by the ISO specification standards on surface texture metrology, many other approaches are possible, in particular adapted from the literature on digital image segmentation. In this work an original segmentation approach is introduced and discussed, where topography partitioning is driven by information collected through the application of texture characterisation transforms popular in digital image processing. Gabor filters, wavelets and pyramid decompositions are investigated and applied to a selected set of test cases. The behaviour, performance and limitations of the proposed approach are discussed from the viewpoint of the identification and extraction of individual surface topography features.

AB - Areal topography segmentation plays a fundamental role in those surface metrology applications concerned with the characterisation of individual topography features. Typical scenarios include the dimensional inspection and verification of micro-structured surface features, and the identification and characterisation of localised defects and other random singularities. While morphological segmentation into hills or dales is the only partitioning operation currently endorsed by the ISO specification standards on surface texture metrology, many other approaches are possible, in particular adapted from the literature on digital image segmentation. In this work an original segmentation approach is introduced and discussed, where topography partitioning is driven by information collected through the application of texture characterisation transforms popular in digital image processing. Gabor filters, wavelets and pyramid decompositions are investigated and applied to a selected set of test cases. The behaviour, performance and limitations of the proposed approach are discussed from the viewpoint of the identification and extraction of individual surface topography features.

KW - Gabor filters

KW - pyramid decompositions

KW - Surface topography

KW - texture-based segmentation

KW - wavelet decomposition

UR - http://www.scopus.com/inward/record.url?scp=84940121362&partnerID=8YFLogxK

U2 - 10.1088/0957-0233/26/9/095405

DO - 10.1088/0957-0233/26/9/095405

M3 - Article

VL - 26

JO - Measurement Science and Technology

T2 - Measurement Science and Technology

JF - Measurement Science and Technology

SN - 0957-0233

IS - 9

M1 - 095405

ER -