Pulsed infrared thermography processing and defects edge detection using FCA and ACA

被引：15

作者：

Liu Yuanlin ^{[1
]}

Tang Qingju ^{[1
]}

Bu Chiwu ^{[2
]}

Mei Chen ^{[1
]}

Wang Pingshan ^{[1
]}

Zang Jiansuo ^{[1
]}

机构：

[1] Heilongjiang Univ Sci & Technol, Sch Mech Engn, Harbin 150022, Peoples R China

[2] Harbin Univ Commerce, Coll Light Ind, Harbin 150028, Peoples R China

来源：

INFRARED PHYSICS & TECHNOLOGY | 2015年 / 72卷

基金：

中国国家自然科学基金;

关键词：

Pulsed thermography; CFRP; FCA; ACA; ANT COLONY;

D O I：

10.1016/j.infrared.2015.07.010

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

CFRP sheet with delamination defects was detected using pulsed infrared thermography. The principle of polynomial fitting the derivative time algorithm (FDA) and related coefficient algorithm (RCA) was described. A new polynomial fitting the derivative time-related coefficient algorithm (FCA) was formed by combining FDA and RCA, which improves the signal to noise (SNR) of feature images, and is benefit for the detection and identification of defects. The defects edge identification procedure using ant colony algorithm (ACA) is given, and the defect edge features in the infrared image have been extracted using ACA effectively. (c) 2015 Elsevier B.V. All rights reserved.

引用

页码：90 / 94

页数：5