Target detection of THz images based on C-means of fuzzy local information

JIANG Tian; SHEN Huiliang; YANG Dongxiao; LIU Jianjun; ZOU Zhe

doi:10.7510/jgjs.issn.1001-3806.2015.03.001

LASER TECHNOLOGY > 2015 > 39(3): 289-294. > DOI: 10.7510/jgjs.issn.1001-3806.2015.03.001

JIANG Tian, SHEN Huiliang, YANG Dongxiao, LIU Jianjun, ZOU Zhe. Target detection of THz images based on C-means of fuzzy local information[J]. LASER TECHNOLOGY, 2015, 39(3): 289-294. DOI: 10.7510/jgjs.issn.1001-3806.2015.03.001

Citation:

PDF (2306 KB)

Target detection of THz images based on C-means of fuzzy local information

1.
Department of Information Science & Electronic Engineering, Zhejiang University, Hangzhou 310027, China;
2.
Centre for Terahertz Research, China Jiliang University, Hangzhou 310018, China

More Information

Received Date: May 06, 2014
Revised Date: May 27, 2014
Published Date: May 24, 2015

Graphical Abstract

Abstract

Abstract

In order to overcome the backwards, such as low contrast and strong interference fringes of the images captured by terahertz(THz) continuous wave imaging system based on backward wave oscillator, to detect target objects from background and avoid the disturbance of the irregular interference fringes, the cluster method based on C-means of fuzzy local information was used to target detection and the membership function was improved so that it was suitable to terahertz images. Experiment results show that the proposed clustering algorithm can detect target objects from terahertz images corrupted with irregular interference fringes and has better accuracy than the classic image clustering algorithm.
- image processing,
- THz continuous wave imaging,
- clustering,
- fuzzy local information,
- membership weight

FullText(HTML)

References (13)

References

[1]	HOUSHMAND K, TIZHOOSH H R. Filtering and fusion of THz images for defect detection in composite materials[C]// Proceeding of IEEE International Conference on Fuzzy Systems. New York,USA:IEEE,2008:1301-1305.
[2]	ZOU Y Y, GE Q P, HAN Y, et al. Stripe noise of THz image processing based on frequency filtering[J].Computer Engineering and Applications,2009,45(17):241-243(in Chinese).
[3]	LI Q, XIA Z W, DING S H, et al. Image denoising of CW THz images by use of non-local mean [J].Infrared and Laser Engineering,2012,41(2):517-522(in Chinese).
[4]	XU Y ,HONG Z. Study of multi-scale enhancement algorithm for THz images combining wavelet denoising[J].Chinese Journal of Sensors and Actuators,2011,24(3):398-401(in Chinese).
[5]	KRINIDIS S, CHATZIS V. A robust fuzzy local information C-means clustering algorithm[J]. IEEE Transactions on Image Processing,2010,19(5):1328-1337.
[6]	BEZDEK J C. Pattern recognition with fuzzy objective function algorithms[M]. New York,USA: Plenum Press, 1981: 1-13.
[7]	WANG Q, CHI X, LI Q. Imaging theory and development of THz free electron lasers[J].Laser Technology,2006,30(6):643-646(in Chinese).
[8]	WANG L F, LI J, HONG Z.CW terahertz image system for detecting defects in phenolic foam[J].Optical Instruments,2010,32(1):13-15(in Chinese).
[9]	YIN Q G. Applied research of markov random field in continuous-wave terahrtz image processing[D]. Haerbin: Harbin Institute of Technology, 2009:23-25(in Chinese).
[10]	OTSU N. A threshold selection method from gray-level histograms[J]. IEEE Transactions on Systems, Man and Cybernetics,1979,9(1):62-66.
[11]	RANJITH U, CAROLINE P, MARTIAL H. Toward objective evaluation of image segmentation algorithms[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2007,29(6):929-944.
[12]	CELIK T, LEE H K. Comments on A robust fuzzy local information C-means clustering algorithm [J].IEEE Transactions on Image Processing, 2013,22(3): 1258-1261.
[13]	MAcQUEEN J. Some methods for classification and analysis of multivariate observations[C]//Procedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability. Berkeley,USA: University of California Press, 1967:281-297.

Cited By

Cited by

Periodical cited type(13)

1.	马博华，杨尹. 基于激光传感器的室内舒适度智能控制系统设计. 激光杂志. 2021(12): 197-201 .
2.	马佳博，王成玥，陈峰. 加激光选区熔化成形技术的产品设计三维模型研究. 激光杂志. 2020(05): 134-138 .
3.	宋姗姗，刘韦. 基于激光技术的无线传感系统容错目标定位设计. 激光杂志. 2020(06): 36-39 .
4.	潘森，高婧婧，许孝芳，毕勇，李金鹏. 多星敏感器地面热漂移标定位置误差检测研究. 激光技术. 2020(06): 664-667 . 本站查看
5.	许爽，周铜. 电动汽车锂电池电源故障激光传感器设计. 激光杂志. 2019(03): 168-171 .
6.	吴耕锐，郭三学，薄鸟，刘永利. 基于激光传感器的多应急救援车辆运输路径优化识别系统设计. 激光杂志. 2019(06): 88-92 .
7.	李亚红，冯东华. 激光传感网络恶意代码主动检测系统设计. 激光杂志. 2019(06): 212-215 .
8.	郑新建，刘玲玲. 基于激光传感器采集信息的电气设备状态分析研究. 激光杂志. 2019(07): 179-183 .
9.	蒋天堂，杜焰. 基于激光传感器实时数据的交通信号灯控制优化研究. 激光杂志. 2019(09): 155-158 .
10.	李房云，赵巍. 基于激光传感器数据的机器人工作路径智能控制. 激光杂志. 2019(09): 147-150 .
11.	彭军，陈鑫源. 基于激光位移传感器的数据高速处理系统设计. 激光杂志. 2019(12): 107-109 .
12.	韩春光，蔡彤琛，时广华，王科峰，汪志成. 基于向量积同向技术的改进APIT定位算法. 激光技术. 2018(03): 395-399 . 本站查看
13.	杨喜良，邵磊，杨晓峥，张小虎，李柏松，高晞光. 调节型电液执行机构性能测试. 油气田地面工程. 2018(10): 90-95 .

Other cited types(1)

Get Citation

PDF

XML

Article views (7) PDF downloads (14) Cited by(14)

Turn off MathJax

Article Contents

Abstract

References

Target detection of THz images based on C-means of fuzzy local information

Abstract

References

Cited by

Periodical cited type(13)

Other cited types(1)

Catalog

Links：

Target detection of THz images based on C-means of fuzzy local information

Abstract

References

Cited by

Periodical cited type(13)

Other cited types(1)

Catalog

Links：

Export File

Citation

Format

Content