Sea-sky Line Extraction with Linear Fitting Based on Line Segment Detection

被引:0
作者
Ma, Tao [1 ]
Ma, Jie [1 ]
Fu, Wenxing [2 ]
机构
[1] Huazhong Univ Sci & Technol, Natl Key Lab Sci & Technol Multispectral Informat, Wuhan, Peoples R China
[2] China Aerosp Sci & Ind Corp, Res Acad 3, Beijing, Peoples R China
来源
PROCEEDINGS OF 2016 9TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 1 | 2016年
关键词
sea-sky line extraction; linear fitting; line segment detection; least squares;
D O I
10.1109/ISCID.2016.18
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Sea-sky line extraction under complex sea-sky background plays a very important role in image processing for the detection and tracking of targets. In this paper, different from traditional methods, we proposed a novel sea-sky line extraction approach with straight line fitting based on line segment detection. Firstly, a fast and robust line segment detection method was used to locate the sea-sky region roughly. In this algorithm, the line segment region detection can be completed in linear time. Then, the accurate parameters of sea-sky line is computed in an improved linear fitting method based on least squares. The experimental results indicate that the proposed approach can effectively extract the sea-sky line from sea-sky background image.
引用
收藏
页码:46 / 49
页数:4
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