The state of the sintering end point can be indirectly reflected by the flame image characteristics of the material layer section at the end of the sintering machine. However, the image of tail section collected by industrial camera is easy to be interfered by smoke, dust and thermal radiation. As a result, the edge between the flame area and the material layer area becomes fuzzy, accompanied with halo and noise, which leads to the degradation of flame image. In order to solve the problem of image quality degradation, a new method based on weighted guided image filtering and fast adaptive fuzzy enhancement of flame image of sintering cross section is proposed in this paper; furthermore, the correlation analysis of the flame image characteristics of sintering section is carried out. The main contents of this paper include three parts: cross-sectional flame image enhancement, image brightness characteristics and geometric feature extraction, and image feature correlation analysis. The results show that the proposed method effectively eliminates the interference of noise and halo in the cross-sectional flame image. The brightness characteristics of the flame image are related to the length and height of the flame and the area of the red fire region, while there is no correlation between the brightness characteristics of the flame image and the centroid variance. Therefore, the brightness characteristics and the centroid variance can be used as the input feature for the discrimination of sintering state.

中文翻译：

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烧结段火焰图像快速自适应模糊增强及相关特征分析

烧结终点的状态可以通过烧结机端料层段的火焰图像特性间接反映出来。然而，工业相机采集的尾部图像容易受到烟雾、灰尘和热辐射的干扰。结果，火焰区域和材料层区域之间的边缘变得模糊，伴随着光晕和噪声，导致火焰图像的退化。为了解决图像质量下降的问题，提出了一种基于加权引导图像滤波和烧结截面火焰图像快速自适应模糊增强的新方法；进一步对烧结段火焰图像特征进行了相关分析。本文的主要内容包括三个部分：截面火焰图像增强、图像亮度特征和几何特征提取、图像特征相关性分析。结果表明，所提出的方法有效地消除了截面火焰图像中噪声和光晕的干扰。火焰图像的亮度特征与火焰的长度和高度以及红色火焰区域的面积有关，而火焰图像的亮度特征与质心方差之间没有相关性。因此，亮度特征和质心方差可以作为判别烧结状态的输入特征。结果表明，所提出的方法有效地消除了截面火焰图像中噪声和光晕的干扰。火焰图像的亮度特征与火焰的长度和高度以及红色火焰区域的面积有关，而火焰图像的亮度特征与质心方差之间没有相关性。因此，亮度特征和质心方差可以作为判别烧结状态的输入特征。结果表明，所提出的方法有效地消除了截面火焰图像中噪声和光晕的干扰。火焰图像的亮度特征与火焰的长度和高度以及红色火焰区域的面积有关，而火焰图像的亮度特征与质心方差之间没有相关性。因此，亮度特征和质心方差可以作为判别烧结状态的输入特征。而火焰图像的亮度特征与质心方差之间没有相关性。因此，亮度特征和质心方差可以作为判别烧结状态的输入特征。而火焰图像的亮度特征与质心方差之间没有相关性。因此，亮度特征和质心方差可以作为判别烧结状态的输入特征。