Application of Petrochemical Heat Equipments' State Inspection Based on Threshold Value of Infrared Image Segmentation

Lin Lin Cui; Hua Lai; Yong Wang Tang; Qiang Cao

doi:10.4028/www.scientific.net/AMR.712-715.1947

Paper Titles

Design and Implementation a Testing Environment for Wireless Sensor Networks
p.1923

The Effect of ESD EMP Test on Wireless Antenna and Protection Network Design
p.1928

Path Planning of Mobile Beacon for Localization Based on Distribution of Unknown Nodes
p.1933

Localization and Map Building of Laser Sensor AGV Based on Kalman Filter
p.1938

Application of Petrochemical Heat Equipments' State Inspection Based on Threshold Value of Infrared Image Segmentation
p.1947

An Improved Faults Diagnosis Strategy of Analog Circuit Online Using Kernel Fuzzy C-Means for the Unknown Fault
p.1952

Improved Method for State of Charge Estimation of Lithium Iron Phosphate Power Batteries
p.1956

Ballistic Measurement and Parameter Estimation of Ballistic Missile with Early Warning Satellite
p.1960

Tolerance Analog Circuit Hard Fault and Soft Fault Diagnosis Based on Particle Swarm Neural Network
p.1965

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 712-715Application of Petrochemical Heat Equipments'...

Application of Petrochemical Heat Equipments' State Inspection Based on Threshold Value of Infrared Image Segmentation

Abstract:

According to the problem of petrochemical heat equipment status inspection and fault diagnosis, a method based on threshold value of infrared image segmentation was presented. Studying the infrared image segmentation based on threshold value we can get the relationship between threshold value and the target area, threshold value and the temperature. Categories of differential variance method and optimal threshold value method of the experimental results were compared, and feasibility of this method was verified.

You might also be interested in these eBooks

Advances in Manufacturing Science and Engineering

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 712-715)

Pages:

1947-1951

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.712-715.1947

Citation:

Cite this paper

Online since:

June 2013

Authors:

Lin Lin Cui, Hua Lai, Yong Wang Tang, Qiang Cao

Keywords:

Best Threshold, Edge Detection, Infrared Detection, Temperature Distribution

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] FengShouZhang, FeiWang. FengKuicCui.A method based on gradient the subpixel edge detection. Ilgorithm microelectronics and computer ,2011,(03)

Google Scholar

[2] YuPengTian. Infrared detection and diagnosis technology. Beijing: chemical industry press, (2006)

Google Scholar

[3] RuLinWang. Infrared detection technology. Beijing: chemical industry press, (2006)

Google Scholar

[4] XiaoDanWang, ChongMingWu. Based on the MATLAB system analysis and design. Xian: xian university of electronic science and technology press, (2000)

Google Scholar

[5] LiNaFan, XiaoWeiHan, GuangYuanZhang. Image processing and pattern recognition. Beijing: science press, (2007)

Google Scholar

[6] YuLanCheng. Infrared diagnosis field practical technology. Beijing: mechanical industry publishing house, (2002)

Google Scholar