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http://dx.doi.org/10.4218/etrij.15.0114.0118

Infrared Target Extraction Using Weighted Information Entropy and Adaptive Opening Filter  

Bae, Tae Wuk (IT Convergence Technology, ETRI)
Kim, Hwi Gang (IT Convergence Technology, ETRI)
Kim, Young Choon (Department of Information & Communication Security, Youngdong University)
Ahn, Sang Ho (Department of Electrical Engineering, Inje University)
Publication Information
ETRI Journal / v.37, no.5, 2015 , pp. 1023-1031 More about this Journal
Abstract
In infrared (IR) images, near targets have a transient distribution at the boundary region, as opposed to a steady one at the inner region. Based on this fact, this paper proposes a novel IR target extraction method that uses both a weighted information entropy (WIE) and an adaptive opening filter to extract near finely shaped targets in IR images. Firstly, the boundary region of a target is detected using a local variance WIE of an original image. Next, a coarse target region is estimated via a labeling process used on the boundary region of the target. From the estimated coarse target region, a fine target shape is extracted by means of an opening filter having an adaptive structure element. The size of the structure element is decided in accordance with the width information of the target boundary and mean WIE values of windows of varying size. Our experimental results show that the proposed method obtains a better extraction performance than existing algorithms.
Keywords
Infrared; near target; weighted information entropy; opening operator; structure element;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 A.N. de Jong, "IRST and its Perspective," Proc. SPIE Int. Symp. Opt. Sci., Eng., Instrum., San Diego, CA, USA, July 9-14, 1995, pp. 206-213.
2 W.L. Wolfe, "Introduction to Infrared System Design," Washington, DC, USA: SPIE Optical Engineering Press, 1996, pp. 29-40.
3 L. Chengjun, W. Ying, and S. Zeling, "A Small Target Detection Algorithm Based on Multi-scale Energy Cross," IEEE Int. Conf. Robot., Intell. Syst. Signal Process., Hunan, China, Oct. 8-13, 2003, pp. 1191-1196.
4 S.H. Kim and J.H. Lee, "Near-Infrared Light Propagation in an Adult Head Model with Refractive Index Mismatch," ETRI J., vol. 27, no. 4, Aug. 2005, pp. 377-384.   DOI
5 J. Gong, L. Li, and W. Chen, "Fast Recursive Algorithm for Two Dimensional Thresholding," Pattern Recogn., vol. 31, no. 3, Mar. 1998, pp. 295-300.   DOI
6 T.X. Zhang et al., "Fast Recursive Algorithm for Infrared Ship Image Segmentation," J. Infrared Millimeter Waves, vol. 25, no. 4, Aug. 2006, pp. 295-300.
7 T.-W. Bae et al., "An Efficient Two-Dimensional Least Mean Square (TDLMS) Based on Block Statistics for Small Target Detection," J. Infrared, Millimeter Terahertz Waves, vol. 30, no. 10, Oct. 2009, pp. 1092-1101.   DOI
8 T.-W. Bae, F. Zhang, and I.-S. Kweon, "Edge Directional 2D LMS Filter for Infrared Small Target Detection," Infrared Physics Technol., vol. 55, no. 1, Jan. 2012, pp. 137-145.   DOI
9 T.-W. Bae and K.-I. Sohng, "Small Target Detection Using Bilateral Filter Based on Edge Component," Int. J. Infrared Millimeter Terahertz. Waves, vol. 31, no. 6, June 2010, pp. 735-743.
10 T.-W. Bae et al., "Recursive Multi-SEs NWTH Method for Small Target Detection in Infrared Images," IEICE Electron. Exp., vol. 8, no. 19, Oct. 2011, pp. 1576-1582.   DOI
11 T.-W. Bae et al., "Small Target Detection Using Cross Product Based on Temporal Profile in Infrared Image Sequences," Comput. Electr. Eng., vol. 36, no. 6, Nov. 2010, pp. 1156-1164.   DOI
12 L. Yang, J. Yang, and K. Yang, "Adaptive Detection for Infrared Small Target under Sea-Sky Complex Background," Electron. Lett., vol. 40, no. 17, Aug. 2004, pp. 1083-1085.   DOI
13 L. Yang, J. Yang, and J. Ling, "New Criterion to Evaluate the Complex Degree of Sea-Sky Infrared Backgrounds," Opt. Eng., vol. 44, no. 12, Dec. 2005, pp. 126401-126406.   DOI
14 L. Yang, Y. Zhou, and J. Yang, "Variance WIE Based Infrared Images Processing," Electron. Lett., vol. 42, no. 15, July 2006, pp. 857-859.   DOI
15 P. Jackway, "Improved Morphological Top-Hat," Electron. Lett., vol. 36, no. 14, July 2000, pp. 1194-1195.   DOI
16 M. Zeng, J. Li, and Z. Peng, "The Design of Top-Hat Morphological Filter and Application to Infrared Target Detection," Infrared Physics Technol., vol. 48, no. 1, Apr. 2006, pp. 67-76.   DOI
17 X. Bai and F. Zhou, "Infrared Small Target Enhancement and Detection Based on Modified Top-Hat Transformations," Comput. Electr. Eng., vol. 36, no. 6, Nov. 2010, pp. 1193-1201.   DOI
18 C. Gonzalez, E. Woods, and L. Eddins, Digital Image Processing Using MATLAB, FL, USA: Pearson Prentice Hall, 2004, pp. 519-560.
19 Y. Xiong et al., "An Extended Track-Before-Detect Algorithm for Infrared Target Detection," IEEE Trans. Aerosp. Electron. Syst., vol. 33, no. 3, July 1997, pp. 1087-1092.   DOI
20 X. Liu, M. Tanaka, and M. Okutomi, "Single-Image Noise Level Estimation for Blind Denoising," IEEE Trans. Image Process., vol. 22, no. 12, Dec. 2013, pp. 5226-5237.   DOI
21 C.I. Hilliard, "Selection of a Clutter Rejection Algorithm for Real-Time Target Detection from an Airborne Platform," Proc. SPIE Signal Data Process. Small Targets, Orlando, FL, USA, Apr. 24-28, 2000, pp. 74-84.
22 T.-W. Bae, "Small Target Detection Using Bilateral Filter and Temporal Cross Product in Infrared Images," Infrared Physics Technol., vol. 54, no. 5, Sept. 2011, pp. 403-411.   DOI
23 N. Ostu, "A Threshold Selection Method from Gay-Level Hstograms," IEEE Trans. Syst. Man Cybern., vol. 9, no. 1, Jan. 1979, pp. 62-66.   DOI