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

Tao Ma; Jie Ma; Wenxing Fu

doi:10.1109/ISCID.2016.1019

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

Tao Ma
, Jie Ma
, Wenxing Fu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	46-49
Number of pages	4
ISBN (Electronic)	9781509035588
DOIs	https://doi.org/10.1109/ISCID.2016.1019
State	Published - 2 Jul 2016
Externally published	Yes
Event	9th International Symposium on Computational Intelligence and Design, ISCID 2016 - Hangzhou, Zhejiang, China Duration: 10 Dec 2016 → 11 Dec 2016

Publication series

Name	Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016
Volume	1

Conference

Conference	9th International Symposium on Computational Intelligence and Design, ISCID 2016
Country/Territory	China
City	Hangzhou, Zhejiang
Period	10/12/16 → 11/12/16

Keywords

least squares
line segment detection
linear fitting
sea-sky line extraction

Access to Document

10.1109/ISCID.2016.1019

Cite this

Ma, T., Ma, J., & Fu, W. (2016). Sea-Sky Line Extraction with Linear Fitting Based on Line Segment Detection. In Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016 (pp. 46-49). Article 7830293 (Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCID.2016.1019

Ma, Tao ; Ma, Jie ; Fu, Wenxing. / Sea-Sky Line Extraction with Linear Fitting Based on Line Segment Detection. Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 46-49 (Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016).

@inproceedings{a9f64eb1c3284c15a97ae084d927ca22,

title = "Sea-Sky Line Extraction with Linear Fitting Based on Line Segment Detection",

abstract = "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.",

keywords = "least squares, line segment detection, linear fitting, sea-sky line extraction",

author = "Tao Ma and Jie Ma and Wenxing Fu",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 9th International Symposium on Computational Intelligence and Design, ISCID 2016 ; Conference date: 10-12-2016 Through 11-12-2016",

year = "2016",

month = jul,

day = "2",

doi = "10.1109/ISCID.2016.1019",

language = "英语",

series = "Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "46--49",

booktitle = "Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016",

}

Ma, T, Ma, J & Fu, W 2016, Sea-Sky Line Extraction with Linear Fitting Based on Line Segment Detection. in Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016., 7830293, Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016, vol. 1, Institute of Electrical and Electronics Engineers Inc., pp. 46-49, 9th International Symposium on Computational Intelligence and Design, ISCID 2016, Hangzhou, Zhejiang, China, 10/12/16. https://doi.org/10.1109/ISCID.2016.1019

Sea-Sky Line Extraction with Linear Fitting Based on Line Segment Detection. / Ma, Tao; Ma, Jie; Fu, Wenxing.
Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 46-49 7830293 (Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Sea-Sky Line Extraction with Linear Fitting Based on Line Segment Detection

AU - Ma, Tao

AU - Ma, Jie

AU - Fu, Wenxing

PY - 2016/7/2

Y1 - 2016/7/2

N2 - 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.

AB - 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.

KW - least squares

KW - line segment detection

KW - linear fitting

KW - sea-sky line extraction

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DO - 10.1109/ISCID.2016.1019

M3 - 会议稿件

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BT - Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Ma T, Ma J, Fu W. Sea-Sky Line Extraction with Linear Fitting Based on Line Segment Detection. In Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 46-49. 7830293. (Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016). doi: 10.1109/ISCID.2016.1019

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

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