Target Detection Method of Infrared Images with Strong Wave Based on Morphological Characteristics

Meng Zhang, Lili Dong, Chang Tian
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Abstract

The maritime accidence tends to occur in severe weather, improving the detection ability of infrared images has high using value as infrared detection is the common method used in searching and rescuing. This paper proposed a target detection method of Infrared Images with strong waves based on morphological characteristics. A suppression descriptor has been designed to represent the feature that the grey level contribution in the wave area is consistent in a certain direction. This descriptor was used to suppress the wave. Then, the horizontal relative significant enhancement method has been proposed to enhance the targets. According to the experimental results, the method reaches a higher accuracy.
基于形态学特征的红外强波图像目标检测方法
海上事故往往发生在恶劣天气中,红外探测是搜救中常用的方法,提高红外图像的探测能力具有很高的使用价值。提出了一种基于形态学特征的红外强波图像目标检测方法。设计了一种抑制描述符来表示波区的灰度值在某一方向上的贡献是一致的。这个描述符被用来抑制波。然后,提出了水平相对显著增强方法对目标进行增强。实验结果表明,该方法具有较高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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