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A Fast Defects Location Method in ICT Images Based on Block Fractal Dimension
  • ISSN号:1003-4951
  • 期刊名称:CADDM
  • 时间:2015.3
  • 页码:1-6
  • 分类:TS974.1[轻工技术与工程] TS827[轻工技术与工程]
  • 作者机构:[1]School of Information and Communication Engineering, North University of China, Taiyuan 030051, China, [2]Key Laboratory of Instrumentation Science & Dynamic Measurement, North University of China, Taiyuan 030051, China
  • 相关基金:Supported by National Nature Science Foundation of China (No. 61171177).
  • 相关项目:基于工业CT固体火箭发动机缺陷定位与分割技术研究
中文摘要:

Non-destructive testing(NDT) has been widely used in many fields, we can easily see it is being used in shipbuilding, aerospace, weapons manufacturing and so on. ICT is one of the best non destructive testing methods currently, but it has not been used widely, because it requires much compute and costs much time. Defect location is one of the most important processing steps in the digital image analysis. Defect location would correspondingly reduce the time spent in the testing. We may only require locating the defects in some case. So, we divide the CT images into several little blocks which the square is equal, and then calculate the fractal on each block. By determining the value and connected region number of the fractal dimension, we can locate defects of the image. The results show that the block fractal dimension is a useful and time-saving defect location method.

英文摘要:

Non-destructive testing (NDT) has been widely used in many fields, we can easily see it is being used in shipbuilding, aerospace, weapons manufacturing and so on. ICT is one of the best non destructive testing methods currently, but it has not been used widely, because it requires much compute and costs much time. Defect location is one of the most important processing steps in the digital image analysis. Defect location would correspondingly reduce the time spent in the testing. We may only require locating the defects in some case. So, we divide the CT images into several little blocks which the square is equal, and then calculate the fractal on each block. By determining the value and connected region number of the fractal dimension, we can locate defects of the image. The results show that the block ffactal dimension is a useful and time-saving defect location method.

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期刊信息
  • 《计算机辅助绘图设计与制造:英文版》
  • 主管单位:
  • 主办单位:中国图学学会
  • 主编:张彩明
  • 地址:北京市海淀区学院路37号CADDM编辑部
  • 邮编:100191
  • 邮箱:txxbeditor@163.com
  • 电话:010-82317091
  • 国际标准刊号:ISSN:1003-4951
  • 国内统一刊号:ISSN:11-2862/TP
  • 邮发代号:
  • 获奖情况:
  • 国内外数据库收录:
  • 被引量:21