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Automatic detection method of sea surface target based on morphological processing

机译:基于形态加工的海表面靶靶的自动检测方法

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Aiming at the typical features of IR image under complex sea-sky background such as low contrast and fuzzy image edge, an automatic detection method of sea surface target based on morphological processing is proposed in this paper. At first the preprocesses such as denoising and contrast enhancement are carried out, then the Hough transform is employed to detect the sea-sky-line, and the target potential area is determined, then edge detection, dilation and hole filling are used to obtain the whole connected region of the target. Finally, the automatic detection of the target is achieved by extracting the contour of the connected region. The experimental results show that the method can effectively detect the sea surface target in complex sea-sky background, and it can lay a good foundation for subsequent geometric features extraction and recognition.
机译:针对复杂的海洋背景下的IR图像的典型特征,如低对比度和模糊图像边缘,提出了一种基于形态学加工的海表面靶标的自动检测方法。首先,进行了诸如去噪和对比度增强的预处理,然后采用霍夫变换来检测海洋线,确定目标电位区域,然后使用边缘检测,扩张和孔填充物来获得整个连接区域的目标。最后,通过提取连接区域的轮廓来实现目标的自动检测。实验结果表明,该方法可以有效地检测复杂海洋背景中的海面靶,可以为随后的几何特征提取和识别奠定良好的基础。

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