首页> 外文会议>Symposium on Quantitative Nondestructive Evaluation >ENHANCED IMAGE PROCESSING METHODS FOR GMR ARRAY INSPECTIONS OF MULTILAYER METALLIC STRUCTURES
【24h】

ENHANCED IMAGE PROCESSING METHODS FOR GMR ARRAY INSPECTIONS OF MULTILAYER METALLIC STRUCTURES

机译:增强图像处理方法,用于多层金属结构的GMR阵列检查

获取原文

摘要

The objective of this paper is to present a comprehensive approach to image processing for Giant Magnetoresistive (GMR) array sensors with sheet current sources for the inspection of fatigue cracks in complex metallic structures. The approach incorporates optimal phase angle adjustment, array sensitivity compensation, fastener site identification, an adaptive edge evaluation and removal algorithm and a classification metric. Processing examples are presented that highlight the benefits of these algorithms for improving crack detection for challenging edge and fastener spacing conditions.
机译:本文的目的是提出一种综合性方法,用于巨型磁阻(GMR)阵列传感器的图像处理,用于检查复杂金属结构中的疲劳裂缝的薄板电流源。该方法包括最佳相位角调整,阵列灵敏度补偿,紧固件站点识别,自适应边缘评估和拆除算法和分类度量。提出了处理实施例,其突出了这些算法的益处,以改善挑战边缘和紧固件间隔条件的改善裂缝检测。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号