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Proceedings Paper

Automatic detection method of sea surface target based on morphological processing
Author(s): Yan Chen; Shuhua Wang; Guangping Wang; Weili Chen; Jingli Wu; Shilei Yao
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Paper Abstract

Aiming at the typical features of IR image under complex sea-sky background such as low contrast and fuzzy image edge, an automatic detection method of sea surface target based on morphological processing is proposed in this paper. At first the preprocesses such as denoising and contrast enhancement are carried out, then the Hough transform is employed to detect the sea-sky-line, and the target potential area is determined, then edge detection, dilation and hole filling are used to obtain the whole connected region of the target. Finally, the automatic detection of the target is achieved by extracting the contour of the connected region. The experimental results show that the method can effectively detect the sea surface target in complex sea-sky background, and it can lay a good foundation for subsequent geometric features extraction and recognition.

Paper Details

Date Published: 15 November 2017
PDF: 7 pages
Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106053W (15 November 2017); doi: 10.1117/12.2295893
Show Author Affiliations
Yan Chen, Science and Technology on Optical Radiation Lab. (China)
Shuhua Wang, Science and Technology on Optical Radiation Lab. (China)
Guangping Wang, Science and Technology on Optical Radiation Lab. (China)
Weili Chen, Science and Technology on Optical Radiation Lab. (China)
Jingli Wu, Science and Technology on Optical Radiation Lab. (China)
Shilei Yao, Science and Technology on Optical Radiation Lab. (China)


Published in SPIE Proceedings Vol. 10605:
LIDAR Imaging Detection and Target Recognition 2017
Yueguang Lv; Weimin Bao; Weibiao Chen; Zelin Shi; Jianzhong Su; Jindong Fei; Wei Gong; Shensheng Han; Weiqi Jin; Jian Yang, Editor(s)

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