Ship detection algorithm used in a navigation lock monitored system

Jiuxian Li; Xiao-hui Yuan; LiangZheng Xia

doi:10.1117/12.441622

24 September 2001 Ship detection algorithm used in a navigation lock monitored system

Jiuxian Li, Xiao-hui Yuan, LiangZheng Xia

Proceedings Volume 4554, Object Detection, Classification, and Tracking Technologies; (2001) https://doi.org/10.1117/12.441622
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

A ship detection algorithm used in a navigation lock monitored control system, which helps to improve safety and dependability, is presented. We mean, in this paper, the processed region of river channel is determined through image edge detection. A method of peak-cutting histogram is introduced to restrain illusive movement information resulting from the glisten of water in the navigation lock. A concept of difference compactness from computing the projected density function of difference image is put forward, which helps to detect moving ships more precisely. With the statistical property of histogram of several small regions of river channel: gray scale variance, the detection of stationary ships can be accomplished, and the results can be judged by confidence region. Computer simulation has proved that it contributes a lot to the detection of ships in a navigation lock.

Citation Download Citation

Jiuxian Li, Xiao-hui Yuan, and LiangZheng Xia "Ship detection algorithm used in a navigation lock monitored system", Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); https://doi.org/10.1117/12.441622

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