Rotary flame

Research on the Segmentation and Retrieval of Rotary Kiln Flame Image

回转窑火焰图像的分割与检索方法研究

The new clustering algorithm was applied in the clustering analysis of rotary kiln flame image .

将该算法应用于回转窑火焰图像的聚类分析中，并对火焰图像进行挖掘试验，结果验证算法的有效性。

After long-term observation study found that , from inside the burning zone of rotary kiln flame image collected contained a lot of information on the temperature of burning zone .

经过长期观察研究发现，从回转窑烧成带内采集到的火焰图像中包含了大量烧成带的温度信息，可以用来判别回转窑的燃烧状况。

Through the similarity calculation of the low level features , it acquired a serial of similar retrieved images . Meanwhile , a rotary kiln flame image semantic extraction model and retrieval model were also proposed .

通过对火焰图像的底层特征进行相似度计算，返回一系列检索结果；同时，提出回转窑火焰图像的语义模型，实现火焰图像语义提取和语义检索方法。

The rotary kiln flame image gray association degrees were calculated , and transformed into the gray weights which were applied in distance calculation ; using this distance measurement , a new clustering algorithm was proposed based on the traditional k-Means algorithm .

分析了火焰图像各属性的灰关联度，并将它们转化成属性的权值，再将这些权值应用于聚类的距离量度之中，进而提出一种改进的聚类算法：Gry-k-Means算法。

Measuring the Temperature of Calcining Zone in Rotary Kiln by Flame Image Sequence Processing

基于图像序列处理的回转窑煅烧区温度测量

Status Recognition Research for Rotary Kiln Based on Flame Image Features and BT-SVM

基于火焰图像特征与BT-SVM的窑况识别方法