计算机工程 ›› 2011, Vol. 37 ›› Issue (18): 229-232.doi: 10.3969/j.issn.1000-3428.2011.18.077

• 图形图像处理 • 上一篇    下一篇

铁路铸件DR图像缺陷的亚像素测量方法

许会洋 a,b,曾 理 a,b   

  1. (重庆大学 a. 数学与统计学院;b. 光电技术及系统教育部重点实验室ICT研究中心,重庆 400044)
  • 收稿日期:2011-02-15 出版日期:2011-09-20 发布日期:2011-09-20
  • 作者简介:许会洋(1984-),女,硕士研究生,主研方向:图像处理;曾 理,教授、博士、博士生导师
  • 基金项目:
    国家自然科学基金资助项目(60972104)

Sub-pixel Measuring Method for Defects of Railway Casting Digital Radiography Image

XU Hui-yang a,b, ZENG Li a,b   

  1. (a. College of Mathematics and Statistics; b. ICT Research Center, Key Laboratory of Optoelectronic Technology and System of Ministry of Education, Chongqing University, Chongqing 400044, China)
  • Received:2011-02-15 Online:2011-09-20 Published:2011-09-20

摘要: 根据DR图像目标边缘模糊、对比度低的特点,将小波多尺度分解与基于水平集演化的CV模型相结合,由此加快主动轮廓线向缺陷边缘收敛的速度,通过改进亚像素线性插值方法,使分割精度从整像素级提高到亚像素级,从而实现缺陷的亚像素测量。仿真结果表明,该方法的测量精度优于传统方法,对实际铸件DR图像的实验结果验证了其高效性。

关键词: DR图像, 缺陷测量, 亚像素, 小波多尺度分解, CV模型

Abstract: Aiming at the problem that Digital Radiography(DR) images have blurred edges and low contrast, this paper uses a method combining wavelet multi-scale decomposition and Chan-Vese(CV) model to expedite the active contour converges to the defect edges. The edge reaches sub-pixel accuracy combining with the improved linear interpolation and the sub-pixel measurement of defects is obtained. Simulation results show that the measuring accuracy of the method is superior to the traditional methods. Experiment on real casting DR images indicates it is feasible and efficient.

Key words: Digital Radiography(DR) image, defect measuring, sub-pixel, wavelet multi-scale decomposition, Chan-Vese(CV) model

中图分类号: