Paper
27 July 1999 One effective method for ship recognition in ship locks
Mingwu Ren, Yulong Cao, Zhenmin Tang, Jingyu Yang, Baoshan Wang, Xufei Geng
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Abstract
The paper presents one effective method for ship recognition in the ship lock. The outdoors environment is very complexity in which there are shade, waves and speckles caused by the sunlight and wind or motion of ships. The accuracy of recognition is depended on the accuracy of disturb area detection. It analyzes their characters on gray level and structure, proposes a new method to form a special histogram of only those pixels besides the boundary. This histogram is fit for small object segment and also large. At the end, the features for recognition based on statistic are presented. The long time running in the temporary ship lock of Three Gorges Project proves the error rate of judging is less than three thousandth just using the statistic features and less than one over ten thousands cooperating with the others.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mingwu Ren, Yulong Cao, Zhenmin Tang, Jingyu Yang, Baoshan Wang, and Xufei Geng "One effective method for ship recognition in ship locks", Proc. SPIE 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII, (27 July 1999); https://doi.org/10.1117/12.357188
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Speckle

Image segmentation

Sensors

Cameras

Image filtering

Statistical analysis

Error analysis

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