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H-minima transform assisted feature characterization system in areal surface metrology / Nor Hidayawati Mohd Zaini

Feature parameter is used to characterize the surface texture according to international standard ISO 25178 part 2. The topography data must undergo segmentation prior to the characterization. However, Watershed segmentation could results in over-segmentation. A mechanism is required to eliminate ov...

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Main Author: Mohd Zaini, Nor Hidayawati
Format: Thesis
Language:English
Published: 2018
Online Access:https://ir.uitm.edu.my/id/eprint/89198/1/89198.pdf
https://ir.uitm.edu.my/id/eprint/89198/
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spelling my.uitm.ir.891982024-08-15T08:44:32Z https://ir.uitm.edu.my/id/eprint/89198/ H-minima transform assisted feature characterization system in areal surface metrology / Nor Hidayawati Mohd Zaini Mohd Zaini, Nor Hidayawati Feature parameter is used to characterize the surface texture according to international standard ISO 25178 part 2. The topography data must undergo segmentation prior to the characterization. However, Watershed segmentation could results in over-segmentation. A mechanism is required to eliminate over-segmentation and retain the necessary information for characterization. Thus, this research introduced the use of H-minima transform prior the segmentation and eliminate the use of Wolf pruning. H-minima transform is introduced before Watershed segmentation carried out. It can suppresses all regional minima in topography surface, whose depth less than or equivalent to threshold value. Demonstration of system design was tested on simulated data. The validation of the system design was verified via feature counts and feature segmentation conditions. Threshold value of H-minima transform is depending on percentage of total surface height. It was different for various type of different surface. The range of the H- minima threshold value obtained to remove insignificant features between 5% and 20% of total surface height. The results showed that, feature characterization system is able to eliminate over-segmentation and extract significant features from the topography surface. This system design could be considered as a toolbox solution for feature characterization in surface metrology. 2018 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/89198/1/89198.pdf H-minima transform assisted feature characterization system in areal surface metrology / Nor Hidayawati Mohd Zaini. (2018) Masters thesis, thesis, Universiti Teknologi MARA (UiTM). <http://terminalib.uitm.edu.my/89198.pdf>
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description Feature parameter is used to characterize the surface texture according to international standard ISO 25178 part 2. The topography data must undergo segmentation prior to the characterization. However, Watershed segmentation could results in over-segmentation. A mechanism is required to eliminate over-segmentation and retain the necessary information for characterization. Thus, this research introduced the use of H-minima transform prior the segmentation and eliminate the use of Wolf pruning. H-minima transform is introduced before Watershed segmentation carried out. It can suppresses all regional minima in topography surface, whose depth less than or equivalent to threshold value. Demonstration of system design was tested on simulated data. The validation of the system design was verified via feature counts and feature segmentation conditions. Threshold value of H-minima transform is depending on percentage of total surface height. It was different for various type of different surface. The range of the H- minima threshold value obtained to remove insignificant features between 5% and 20% of total surface height. The results showed that, feature characterization system is able to eliminate over-segmentation and extract significant features from the topography surface. This system design could be considered as a toolbox solution for feature characterization in surface metrology.
format Thesis
author Mohd Zaini, Nor Hidayawati
spellingShingle Mohd Zaini, Nor Hidayawati
H-minima transform assisted feature characterization system in areal surface metrology / Nor Hidayawati Mohd Zaini
author_facet Mohd Zaini, Nor Hidayawati
author_sort Mohd Zaini, Nor Hidayawati
title H-minima transform assisted feature characterization system in areal surface metrology / Nor Hidayawati Mohd Zaini
title_short H-minima transform assisted feature characterization system in areal surface metrology / Nor Hidayawati Mohd Zaini
title_full H-minima transform assisted feature characterization system in areal surface metrology / Nor Hidayawati Mohd Zaini
title_fullStr H-minima transform assisted feature characterization system in areal surface metrology / Nor Hidayawati Mohd Zaini
title_full_unstemmed H-minima transform assisted feature characterization system in areal surface metrology / Nor Hidayawati Mohd Zaini
title_sort h-minima transform assisted feature characterization system in areal surface metrology / nor hidayawati mohd zaini
publishDate 2018
url https://ir.uitm.edu.my/id/eprint/89198/1/89198.pdf
https://ir.uitm.edu.my/id/eprint/89198/
_version_ 1808975936195919872
score 13.211869

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