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Research of infrared thermal imagery segmentation technology based on visible-light image

机译:基于可见光图像的红外热意象分割技术研究

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To solve the problem of infrared target recognition, by using the complementarity of visible-light image and infrared-thermal imagery, this article presents a kind of infrared thermal imagery segmentation technology. Segmenting the target edges of visible-light images, and superimposing the edge on the corresponding infrared thermal imagery, then segmenting the infrared thermal imagery by the improved weighted regions growing algorithm. After the test about relevant parameters of the infrared thermal imagery, found that contrast enhancement and entropy increase, witch making it easy to split and recognize, and human eye subjective judgment is also much easier. It put forward a new research method about infrared target recognition.
机译:为了解决红外目标识别的问题,通过使用可见光图像和红外线图像的互补性,本文介绍了一种红外热图像分割技术。分割可见光图像的目标边缘,并将边缘叠加在相应的红外热图像上,然后通过改进的加权区域生长算法分割红外热图像。测试后的红外热图像相关参数后,发现对比增强和熵增加,巫术使其容易分裂和识别,而人眼主观判断也更容易。它提出了一种关于红外目标识别的新研究方法。

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