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
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id	my-uitm-ir.89198
record_format	uketd_dc
spelling	my-uitm-ir.891982024-08-15T08:44:32Z H-minima transform assisted feature characterization system in areal surface metrology / Nor Hidayawati Mohd Zaini 2018 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 https://ir.uitm.edu.my/id/eprint/89198/ https://ir.uitm.edu.my/id/eprint/89198/1/89198.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Mechanical Engineering Ria Jaafar, Talib
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Ria Jaafar, Talib
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
qualification_level	Master's degree
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
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Mechanical Engineering
publishDate	2018
url	https://ir.uitm.edu.my/id/eprint/89198/1/89198.pdf
_version_	1811768742332334080

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

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