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Fast Infrared Target Detection under Backlighting Maritime Environment by RVAM and ATS

When detecting the infrared ocean target on a sunny day, it is easy for the target to appear backlighting phenomenon between the infrared thermal imager and the sunshine, which makes the gray level of the target on the infrared image is obviously lower than that of the wave and the background, which will greatly reduce the detection accuracy. To solve this problem, we propose an revised visual attention model (RVAM) and adaptive threshold segmentation (ATS) method by analyzing the characteristics of infrared image. Its main contribution is to apply "center-surround" differences (CSD) operations under different sea waves, an average contrast (AC) method for judging the strength of ocean waves and a fast image segmentation method is proposed. This research can significantly improve the success rate and efficiency of searching maritime targets in different sea wave backlighting environment (BE) using infrared imager.