Target Detection by Eliminating Cluttered Backgrounds in Infrared Images

被引：0

作者：

Shin, Do Kyung ^{[1
]}

Lee, Jong Min ^{[1
]}

Park, Jin Wook ^{[1
]}

Moon, Young Shik ^{[1
]}

Park, Ki Tae ^{[2
]}

机构：

[1] Hanyang Univ, Dept Comp Sci & Engn, 1271 Sa 3 Dong, Aansan, South Korea

[2] Hanyang Univ, Inst Hanyang BK21, Seoul, South Korea

来源：

2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL III | 2010年

关键词：

Infrared image; Target detection; Elimination of cluttered backgrounds; Thresholding; SEGMENTATION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose a method of target detection in IR(Infrared) images. In order to effectively detect target regions, the spatial information of the target is first considered by analyzing the pixel distributions of horizontal and vertical projections. Through analyzing the distributions, the target region is detected by eliminating various backgrounds such as noises and clutters. In order to effectively detect the target region, a novel thresholding method is proposed. As experimental results, the proposed method has achieved better performance than the existing methods.

引用

页码：319 / 322

页数：4

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