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

共 50 条

[21] Pixel size determination of a monitor using moire fringe
Abolhassani, Mohammad
OPTICAL ENGINEERING, 2010, 49 (03)
[22] Diagnosis of diabetes using fuzzy inference system
Chandgude, Nilam
Pawar, Suvarna
2016 INTERNATIONAL CONFERENCE ON COMPUTING COMMUNICATION CONTROL AND AUTOMATION (ICCUBEA), 2016,
[23] Emitter recognition using fuzzy inference system
Hassan, SA
Bhatti, AI
Latif, A
IEEE: 2005 International Conference on Emerging Technologies, Proceedings, 2005, : 204 - 208
[24] Pixel size determination of a monitor using moire fringe
Abolhassani, Mohammad
Daman, Rahil
OPTICAL MICRO- AND NANOMETROLOGY IN MICROSYSTEMS TECHNOLOGY II, 2008, 6995
[25] Brain Tumor Segmentation Using Genetic Algorithm and Artificial Neural Network Fuzzy Inference System (ANFIS)
Sharma, Minakshi
Mukharjee, Sourabh
ADVANCES IN COMPUTING AND INFORMATION TECHNOLOGY, VOL 2, 2013, 177 : 329 - +
[26] Detection and segmentation of cancer regions in cervical images using fuzzy logic and adaptive neuro fuzzy inference system classification method
Ramasamy, Raghupathy
Chinnasamy, Chitra
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, 2020, 30 (02) : 412 - 420
[27] Bayesian inference using an adaptive neuro-fuzzy inference system
Knaiber, Mohammed
Alawieh, Leen
FUZZY SETS AND SYSTEMS, 2023, 459 : 43 - 66
[28] INTERACTIVE FRINGE ANALYSIS SYSTEM - APPLICATIONS TO MOIRE CONTOUROGRAM AND INTERFEROGRAM
YATAGAI, T
IDESAWA, M
YAMAASHI, Y
SUZUKI, M
OPTICAL ENGINEERING, 1982, 21 (05) : 901 - 906
[29] A dynamic fuzzy rule-based inference system using fuzzy inference with semantic reasoning
Shoaip, Nora
El-Sappagh, Shaker
Abuhmed, Tamer
Elmogy, Mohammed
SCIENTIFIC REPORTS, 2024, 14 (01)
[30] A dynamic fuzzy rule-based inference system using fuzzy inference with semantic reasoning
Nora Shoaip
Shaker El-Sappagh
Tamer Abuhmed
Mohammed Elmogy
Scientific Reports, 14

← 1 2 3 4 5 →