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A detection method of infrared image small target based on order morphology transformation and image entropy difference

机译:基于顺序形态变换和图像熵差的红外图像小目标检测方法

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摘要

In this paper a novel approach of infrared image small target detection in background of sky and sea is put forward. Firstly, method of line-average-value- subtraction and order morphology filter are used to restrain correlative background and obtain candidate targets; then two different target detection methods are proposed and used to detect targets. One of them is that order morphological edge detection operators constructed are adopted to wipe off noise and false target while edge of target was extracted; another is that using image entropy difference to detect the discontinuity between targets and background. The experimental results show that the techniques presented in this paper are valid.
机译:提出了一种在天空和海洋背景下进行红外图像小目标检测的新方法。首先,采用线均值减法和阶数形态学滤波的方法来抑制相关背景并获得候选目标。然后提出了两种不同的目标检测方法并将其用于目标检测。其中之一是在提取目标边缘时,采用构造的形态学形态学边缘检测算子来消除噪声和虚假目标。另一个是使用图像熵差来检测目标和背景之间的不连续性。实验结果表明本文提出的技术是有效的。

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