Moire Fringe Segmentation Using Fuzzy Inference System

被引：0

作者：

Woo, Wing Hon ^{[1
]}

Yen, Kin Sam ^{[1
]}

机构：

[1] Univ Sains Malaysia, Sch Mech Engn, Engn Campus, Nibong Tebal 14300, Penang, Malaysia

来源：

9TH INTERNATIONAL CONFERENCE ON ROBOTIC, VISION, SIGNAL PROCESSING AND POWER APPLICATIONS: EMPOWERING RESEARCH AND INNOVATION | 2017年 / 398卷

关键词：

Moire fringe; Segmentation; Fuzzy; TRANSFORMATION; ALIGNMENT; LOGIC;

D O I：

10.1007/978-981-10-1721-6_27

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The analysis of geometric moire patterns is always carried out using image processing techniques and computational methods. Good segmentation of moire fringes is desirable to reduce the uncertainty in moire pattern analysis. In this work, a moire fringes segmentation approach based on a fuzzy inference system (FIS) is proposed. Feature selection based on amplitude parameters and the construction of the FIS for the segmentation are described. An average recognition rate of 81.17 % is recorded for moire fringe detection using FIS. Qualitative comparison of the moire patterns before and after segmentation is made to confirm the applicability of the FIS-based segmentation approach.

引用

页码：247 / 255

页数：9

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