Volume 6 Number 2 (Feb. 2011)
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JSW 2011 Vol.6(2): 225-232 ISSN: 1796-217X
doi: 10.4304/jsw.6.2.225-232

Research on Target Detection and Automatic Extraction of Region of Interest in Infrared Serial Images

Hu Guang1, Yuan Shengzhi2
1School of Computer Science & Technology, Yantai University, Yantai, China
2Department of Science and Technology of Weapons, Naval Aeronautical Engineering Institute, Yantai, China

Abstract—Infrared imaging guidance is a research hotspot in accurate terminal guidance field now. An idea on automatic extraction of region (ROI) of interest in infrared serial images is proposed in order to treat intelligently infrared serial images which are captured. The target detection algorithm of target is researched and the applying scene of the target detection algorithm is confirmed based on analysis for the features of infrared serial images. According to differences of detection algorithm for infrared serial images between static and dynamic scenes, the corresponding detection and extraction algorithm of ROI is discussed respectively. The algorithms are all simulated in real scene. A new stepwise approaching and recurring threshold search algorithm based on two-dimensional maximum entropy principle was proposed by studying recurring formulation optimized of two-dimensional maximum entropy in order to realize to detect target and extract ROI of serial images under complex background. The algorithm above realizes automatic extraction of ROI in Infrared serial images. The results improve the efficiency of accurate terminal guidance and they have good application value by practicing.

Index Terms—infrared serial images, ROI, target detection, stepwise approaching and recurring threshold search algorithm, accurate guidance


Cite: Hu Guang, Yuan Shengzhi, "Research on Target Detection and Automatic Extraction of Region of Interest in Infrared Serial Images," Journal of Software vol. 6, no. 2, pp. 225-232, 2011.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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