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An Image Segmentation Algorithm Based on Gray Bit Plane for Flame

机译:一种基于灰度位平面的灰度平面的图像分割算法

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Flame region judgment is an important part of fire detection system; meanwhile the flame of intelligent monitoring system also has important practical significance to national fire control safety. Therefore, this article puts forward the flame image segmentation method based on gray level bit plane. Firstly, by studying the distribution of flame image in OHTA color space, we found that it can accurately segment the flame area by using the method of the gray level bit plane for component image in OHTA color space. The experiments results show that the algorithm in different scenarios for segmenting flame has a good effectiveness and robustness.
机译:火焰区判断是火灾探测系统的重要组成部分;同时,智能监测系统的火焰也对国家防火安全具有重要的实际意义。因此,本文提出了基于灰度位平面的火焰图像分割方法。首先,通过研究OHTA颜色空间中的火焰图像的分布,我们发现它可以通过使用OHTA颜色空间中的组件图像的灰度位平面的方法来精确地分段。实验结果表明,用于分割火焰的不同场景中的算法具有良好的有效性和鲁棒性。

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