基于铁水搅拌的漩涡图像信息增强方法  

Vortex image information enhancement method based on hot metal stirring

作　　者：骆志承 但斌斌[1] 陈刚 容芷君[1] 罗钟邱 都李平 LUO Zhicheng;DAN Binbin;CHEN Gang;RONG Zhijun;LUO Zhongqiu;DU Liping(Key Laboratory of Metallurgical Equipment and Control of Ministry of Education,Wuhan University of Science and Technology,Wuhan 430081,China;Hubei Science and Technology College,Wuhan 430074,China;Baoxin Software(Wuhan)Co.,Ltd.Wuhan 430080,China)

机构地区：[1]武汉科技大学冶金装备及其控制教育部重点实验室,湖北武汉430081 [2]湖北科技职业学院,湖北武汉430074 [3]宝信软件(武汉)有限公司,湖北武汉430080

出　　处：《炼钢》2024年第2期31-38,共8页Steelmaking

基　　金：国家自然科学基金资助项目(51475340);湖北省重点研发计划项目(YFXM2022000556)。

摘　　要：现有的铁水漩涡图像识别系统的性能很大程度上取决于图像的质量。然而由于钢渣、光线变化和脱硫剂雾气的干扰,摄像头系统在获取漩涡图像中的特征信息时面临一定的困难,导致图像存在大面积的低质量区域。基于此,提出了一种基于铁水特性和漩涡特性的二维图像漩涡信息识别及增强方法,并采用Gabor小波算法来改进提取漩涡图像的特征以及连接断裂纹线信息,通过特征处理单元对图像进行处理以减少伪特征的存在并通过涡径识别方法得出漩涡的量化参数。以生产现场采集的视频数据为对象进行试验,试验结果表明,该方法对比现有方法降低漩涡图像信息伪特征率43.4%,提升涡径识别准确率3.6百分点,实现对自由表面漩涡特征信息的增强并准确识别。The performance of the existing hot metal vortex image recognition system depends largely on the quality of the image.However,due to the interference of steel slag,light change and desulfurizer fog,the camera system faces some difficulties in obtaining the feature information of the vortex image,resulting in a large area of low quality in the image.In order to solve this problem,this paper proposed a method to identify and enhance vortex information in two-dimensional images based on the characteristics of hot metal and vortex.The method adopted an improved Gabor wavelet algorithm to extract the features and crack line information of vortex images.The image was processed by the feature processing unit to reduce the existence of false features and the quantization parameters of vortices were obtained by the vortex diameter recognition method.The experimental results show that,compared with the existing methods,this method reduces the pseudo-feature rate of vortex image information by 43.4%,improves the accuracy of vortex diameter recognition by 3.6 percentage points,and realizes the enhancement and accurate recognition of vortex feature information on the free surface.

关 键 词：图像识别 漩涡 纹线 GABOR 涡径 

分 类 号：TF535.2[冶金工程—钢铁冶金]