[1]王兵学,雍杨,霍义华,等. 基于纹理特征分析的海天线检测方法[J].红外技术,2013,35(01):042-46.
 WANG Bing-xue,YONG Yang,HUO Yi-hua,et al. Sea-sky-line Detection Algorithm Based on Texture Analysis[J].Infrared Technology,2013,35(01):042-46.
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 基于纹理特征分析的海天线检测方法
分享到:

《红外技术》[ISSN:1001-8891/CN:CN 53-1053/TN]

卷:
35卷
期数:
2013年01期
页码:
042-46
栏目:
出版日期:
2013-01-31

文章信息/Info

Title:
 Sea-sky-line Detection Algorithm Based on Texture Analysis
文章编号:
1001-8891(2013)01-0042-05
作者:
王兵学12雍杨1霍义华1王雪梅1
 1.西南技术物理研究所;
2.总装备部重庆军事代表局
Author(s):
 WANG Bing-xue12YONG Yang1HUO Yi-hua1WANG Xue-mei1
1.Southwest Institute of Technical Physics;
2.Chongqing Military Deputy Bureau of General Armament Department
关键词:
 海天线检测红外海空图像纹理分布梯度特征计算
Keywords:
 sea-sky-line detectioninfrared sea-sky imagetexture distributinggradient computation
分类号:
TP391.4
文献标志码:
A
摘要:
 

为抑制海空背景干扰和提高舰船检测速度,提出一种基于纹理特征分析的海天线检测方法。分析了典型红外海空背景下海天

线区域的纹理分布特征,建立了适用于海天线检测的纹理模型。通过梯度特征计算和聚类分析找出图像中的候选直线位置,比较其

纹理参数并准确检测出海天线。对多种复杂背景红外海空图像的实验表明,该方法适应面广,计算简便,具有很好的抗干扰能力。

Abstract:
 

Sea-sky-line extraction is important to suppress background interference and improve the detection speed

of warship target. This paper presents an algorithm based on texture distributing of infrared complicated sea-sky

image. A texture model is proposed by analyzing the texture distributing feature at ocean line area of classical

sea-sky images. The textural image is got by using gradient operators. Then the positions of likely sea-sky-line

can be obtained by clustering the peak value of gradient. The correct sea-sky-line was detected by comparing the

textural parameters of all those positions. Experimental results indicated that this algorithm can extract the

sea-sky-line under various complicated sea-sky background effectively, and has good adaptation and anti-

interference ability.

参考文献/References:

 

为抑制海空背景干扰和提高舰船检测速度,提出一种基于纹理特征分析的海天线检测方法。分析了典型红外海空背景下海天

线区域的纹理分布特征,建立了适用于海天线检测的纹理模型。通过梯度特征计算和聚类分析找出图像中的候选直线位置,比较其

纹理参数并准确检测出海天线。对多种复杂背景红外海空图像的实验表明,该方法适应面广,计算简便,具有很好的抗干扰能力。

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备注/Memo

备注/Memo:
 收稿日期:2012-11-01.
作者简介:王兵学(1975-),汉族,甘肃静宁人,博士研究生。主要研究方向为:运动目标检测与跟踪。
更新日期/Last Update: 2013-02-04