二阶Wedgelet快速分解及其在工业CT图像线特征提取中的应用

李宗剑; 邹晓兵

doi:10.3788/OPE.20152311.3238

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二阶Wedgelet快速分解及其在工业CT图像线特征提取中的应用

信息科学 | 更新时间：2020-08-13

- 二阶Wedgelet快速分解及其在工业CT图像线特征提取中的应用
- Second order Wedgelet rapid decomposition and its application in line feature extraction of industrial CT image
- 光学精密工程 2015年23卷第11期页码：3238-3245
- 作者机构：
  
  重庆第二师范学院数学与信息工程系重庆,400067
- 作者简介：
- 基金信息：
  
  重庆市教委科学技术研究项目(No.KJ131505)();重庆市基础与前沿研究计划资助项目(No.cstc2014jcyjA40040)()
- DOI：10.3788/OPE.20152311.3238
  中图分类号： TP391;TG115.281
- 收稿日期：2015-08-21，
  
  修回日期：2015-09-29，
  
  纸质出版日期：2015-11-25
- 稿件说明：
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李宗剑, 邹晓兵,. 二阶Wedgelet快速分解及其在工业CT图像线特征提取中的应用[J]. 光学精密工程, 2015,23(11): 3238-3245

LI Zong-jian, ZOU Xiao-bing,. Second order Wedgelet rapid decomposition and its application in line feature extraction of industrial CT image[J]. Editorial Office of Optics and Precision Engineering, 2015,23(11): 3238-3245
李宗剑, 邹晓兵,. 二阶Wedgelet快速分解及其在工业CT图像线特征提取中的应用[J]. 光学精密工程, 2015,23(11): 3238-3245 DOI： 10.3788/OPE.20152311.3238.

LI Zong-jian, ZOU Xiao-bing,. Second order Wedgelet rapid decomposition and its application in line feature extraction of industrial CT image[J]. Editorial Office of Optics and Precision Engineering, 2015,23(11): 3238-3245 DOI： 10.3788/OPE.20152311.3238.

摘要

为了对工业CT(ICT)图像中的线特征进行有效提取

提出一种基于二阶Wedgelet快速分解的特征提取方法。首先

介绍了二阶Wedgelet分解的定义

根据二阶Wedgelet基函数的构成将其划分为3种(同边型、邻边型、对边型)不同类型。根据不同类型基函数间的空间关系设计出二阶Wedgelet快速分解算法。在此基础上

在不同的单尺度上分别提取了各自的候选线特征。最后

结合多尺度四叉树结构

融合不同单尺度的候选线特征得到最终提取结果。对实际ICT图像进行了线特征提取实验

对比试验结果验证了提出方法的有效性和先进性

表明基于二阶Wedgelet快速分解的ICT图像线特征提取方法能有效地提取ICT图像感兴趣的线特征

对其它类型图像的线特征提取也具有一定的参考价值。

Abstract

To effectively extract the line features of an industrial CT(ICT) image

a feature extraction method based on second order Wedgelet decomposition was presented. Firstly

the definition of the Wedgelet decomposition was introduced. According to the different constitutions of second-order Wedgelet basis functions

they were divided into three kinds(same side type

neighbouring type and apart type). Depending on the spatial relationships of different kinds of second order Wedgelet basis functions

the second order Wedgelet rapid decomposition algorithm was designed. Then

based on the proposed algorithm

candidate line features at different mono-scales were extracted respectively. Finally

considering the multiscale quadtree structure

the line features were fused to get the final extraction result. The actual ICT images were used to an experiment

comparative test results show the feasibility and advance of the line features extraction method based on second order Wedgelet rapid decomposition. For applying to the ICT images

the method not only extracts effectively interest line features

but also lays a solid foundation for the feature description of the other types images.

关键词

Keywords

references

曾理, 何洪举, 张志波. 基于神经网络边缘提取的工业CT图像与CAD模型的比对检测[J]. 光学精密工程,2011,19(10):2533-2540. ZENG L, HE H J, ZHANG ZH B. Comparison inspection between ICT images & CAD model based on edge extracting by neural networks[J]. Opt. Precision Eng., 2011,19(10):2533-2540.(in Chinese)

黄杰贤, 杨冬涛, 龚昌来. 基于Radon方向场检测指纹奇异点[J]. 光学精密工程,2012,20(9):2041-2050. HUANG J X, YANG D T, GONG CH L. Inspection for fingerprint singular points based on Radon directional field characteristics[J]. Opt. Precision Eng., 2012,20(9):2041-2050.(in Chinese)

王宏健, 王晶, 曲丽萍, 等. 基于模糊自适应Hough变换的海洋环境特征提取[J]. 仪器仪表学报,2013,34(1):32-37. WANG H J, WANG J, QU L P, et al.. Sea environment feature extraction based on fuzzy adaptive Hough transform[J]. Chinese Journal of Scientific Instrument, 2013,34(1):32-37.(in Chinese)

杨扬, 戴明, 周箩鱼. 基于均匀离散曲波变换的多聚焦图像融合[J]. 红外与激光工程,2013,42(9):2547-2552. YANG Y, DAI M, ZHOU L Y. Uniform discrete curvelet transform for multi-focus image fusion[J].Infrared and Laser Engineering, 2013,42(9):2547-2552.(in Chinese)

杨扬, 戴明, 周箩鱼. 基于NSUDCT的红外与可见光图像融合[J]. 红外与激光工程,2014,43(3):961-966. YANG Y, DAI M, ZHOU L Y. Fusion of infrared and visible images based on NSUDCT[J].Infrared and Laser Engineering, 2014,43(3):961-966.(in Chinese)

王元龙, 郭平. 基于小光线束光子映射的单次散射绘制算法[J]. 计算机辅助设计与图形学学报,2013,25(12):1894-1902. WANG Y L, GUO P. Parallel rendering algorithm for single scattering based on photon map of virtual beamlet lights[J].Journal of Computer-Aided Design & Computer Graphics, 2013,25(12):1894-1902.(in Chinese)

龚俊亮, 何昕, 魏仲慧, 等. 基于贝叶斯估计的剪切波域局部自适应图像去噪[J]. 液晶与显示,2013,28(5):799-804. GONG J L, HE X, WEI ZH H, et al.. Local adaptive image denoising based on Bayesian estimation in shearlet domain[J].Chinese Journal of Liquid Crystals and Displays, 2013,28(5):799-804.(in Chinese)

钱方, 孙涛, 郭劲, 等. 基于小波变换的多尺度SSIM算法[J]. 液晶与显示,2015,30(2):317-325. QIAN F, SUN T, GUO J, et al.. Multi-scale SSIM algorithm based on wavelet transforms[J].Chinese Journal of Liquid Crystals and Displays, 2015,30(2):317-325.(in Chinese)

李宗剑, 邹晓兵. 快速Arclet变换及其在工业CT图像圆测量中的应用[J]. 光学精密工程,2015,23(8):2400-2406. LI Z J, ZOU X B. Fast arclet transform and its application in circle measurement of industrial CT images[J].Opt. Precision Eng., 2015,23(8):2400-2406.(in Chinese)

DONOHO D L. Wedgelet:nearly-minimax estimation of edges[J].Annals of Statistics, 1999,27(3):859-897.

DONOHO D L, HUO X M. Beamlets and Multiscale Image Analysis[M]. Berlin:Springer Press,2001, 20:149-196.

LISOWSKA A. Second order wedgelets in image coding[C]. The International Conference on Computer as a Tool, Warsaw. September, 2007.

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