H-minima transform for segmentation of structured surface

Nor Hidayawati Fauzi Ismail,Nuraini Che Pin,Mohd Jaafar,Talib Ria Mohd Zaini

doi:10.1051/matecconf/20167400025

Nor Hidayawati Fauzi Ismail, Nuraini Che Pin + Show 2 more

Open Access

https://doi.org/10.1051/matecconf/20167400025

Copy DOI

Abstract

The watershed segmentation method has been used in surface metrology to determine the feature parameter and the segment of areal surfaces. However, during segmentation, over-segmentation always happens, which may overshadow the significant features. Thus, a new method is required to reduce this over-segmentation, as well as to retain the necessary information for further improvement in the signal processing data. Hence, this paper proposed a new method to overcome over-segmentation for segmentation of structured surface. Over-segmentation happens when the surface area is over-segmented into a large number of insignificant, tiny, and shallow hills and dales features rather than a few significant dales/hills features. H-minima transform was proposed to overcome this issue. From the results, the data pertaining to simulated and measured surface topographies, as well as height threshold value of H-minima transform had depended on the irregularities of the surface to obtain the required features. As a result, it had been concluded that H-minima transform is possible to reduce over-segmentation.

Highlights

Structured surface is purposely designed to meet a specific functional requirement [1]
It contains a topography of generally high aspect-ratio and deterministic feature pattern [2]. This surface is critically important because its influence on the functionality of that surface, such as in tribological application for improving lubrication, reduction of friction and wear [3], as well as in manufactured items like micro and nanometer scale transistor, micro-electro mechanical systems (MEMS), nano-electro mechanical systems (NEMS), and optics
The simulated structured data were generated by combining the sine and cost values, whereas the measured structured data were obtained from the electroplated diamond tool specimen measured with Confocal Laser Scanning Microscope (CLSM)

Summary

Introduction

Structured surface is purposely designed to meet a specific functional requirement [1]. It contains a topography of generally high aspect-ratio and deterministic feature pattern [2]. This surface is critically important because its influence on the functionality of that surface, such as in tribological application for improving lubrication, reduction of friction and wear [3], as well as in manufactured items like micro and nanometer scale transistor, micro-electro mechanical systems (MEMS), nano-electro mechanical systems (NEMS), and optics. In order to segment this surface, both features cannot exist at the same time during the segmentation is carried out. The existence of a large number of insignificant or irrelevant features during segmentation often occurred over-segments the surface, as shown in figure 1

Objectives

Methods

Results