Infrared weak small ship detection based on improved local contrast algorithm
Pages 98 - 102
Abstract
Due to an increasing number of transmission lines choosing to cross river channels for construction, large ships are prone to colliding with power lines and causing maritime traffic accidents, resulting in economic losses and casualties. For the problem of difficulty in recognizing ships in long-range infrared charts of the sea surface, this paper provides an improved local comparison algorithm for infrared weak ship detection. Firstly, the maximum median filter is utilizing to denoise the infrared images of maritime vessels to suppress the background edge information in the infrared images; Secondly, the improved local contrast operator with suppression weighting factor is adding to the filtered resultant image, which can enhance the brightness value of the filtered small target and further suppress the residual background clutter; Finally, the desired target vessel is obtained by adaptive thresholding. The method proposed in this paper can effectively improve the suppression effect of complex background and effectively detect infrared ship targets, so as to obtain infrared ship target images at sea.
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January 2024
179 pages
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Association for Computing Machinery
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Publication History
Published: 17 April 2024
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- Research-article
- Research
- Refereed limited
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- Technology project funded by State Grid Corporation of China
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ICSIM 2024
ICSIM 2024: 2024 the 7th International Conference on Software Engineering and Information Management
January 23 - 25, 2024
Suva, Fiji
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