Extracting sea-sky-line based on improved local complexity

Author

Dong, Yue-fang ; Zhang, Yun-Feng ; Zhu, Chao ; Wang, An-bang

Author_Institution

Changchun Inst. of Opt., Fine Mech. & Phys., Chinese Acad. of Sci., Beijing, China

Volume

6

fYear

2010

fDate

24-26 Aug. 2010

Firstpage

82

Lastpage

85

Abstract

Sea-sky-line extraction under complicated sea-sky background is an important aspect of long-range target tracking research. An algorithm based on improved local complexity is proposed according to the feature that the sky and the sea usually show up at different gray levels in sea-sky background images. Median filter is applied first to remove peak noise, and then the point set of sea-sky-line region which has the greatest change in image is obtained by calculating the local complexity of image and selecting a segmentation threshold. Finally, Hough transform is used to extract the sea-sky-line. The experiment results indicate that this method can extract sea-sky-line under simple and complicated sea-sky backgrounds, which is robust and can improve noise immunity of the algorithm.

Keywords

Hough transforms; computational complexity; feature extraction; geophysical image processing; image denoising; image segmentation; median filters; target tracking; Hough transform; gray level; image denoising; image segmentation; local complexity; long range target tracking; median filter; sea sky background image; Complexity theory; Image segmentation; Noise; Physics; Transforms; Hough transform; local complexity; median filter; sea-sky-line;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4244-7957-3

Type

conf

DOI

10.1109/CMCE.2010.5609912

Filename

5609912