基于图像增强的球团粒度检测方法

Pellets particle size detection method based on image enhancement

为解决球团生产过程中无法准确、即时获取球团粒度信息的问题,针对现有检测球团粒度检测方法的研究存在的不足,本文提出了一种基于图像增强的球团粒度检测方法。该方法使用工业相机获得实时球团图像后,结合Log变换的改进带色彩恢复的多尺度视网膜增强算法(MSRCR)进行图像增强,通过引导滤波在保留球团边缘信息的同时去除噪声,使用引入阈值分割的霍夫变换,快速检测出图像中球团的个数,计算并统计每个球团的粒度。结果表明:该方法对球团个数检测的准确度达到92.03%,对合格球个数的检测准确度达到91.25%,能够满足球团工艺生产的要求。研究结果对减轻工人劳动强度、提高球团生产效率以及合格率具有积极作用。

In order to solve the problem that pellets particle size information cannot be obtained accurately and instantaneously in the production process of pellets,a particle size detection method for pellets based on image enhancement is proposed after the study of the existing detection methods for particle size of each pellet.In this method,the real-time pellets image is obtained by using an industrial camera,in view of the characteristics of low brightness and high noise of the acquired images,the improved Multi-scale Retinal Enhancement Algorithm with Color Recovery(MSRCR)combined with Log transform is used for image enhancement;and then,through guided filtering,the noise is removed while retaining the information at the edge of pellets;finally,the Hough transform of introduced threshold segmentation is used to quickly detect the number of pellets in the image,and then calculate and count the particle size of each pellet.The results show that the accuracy of the method for the detection of the number of each pellet is 92.03%,and the accuracy of the detection of the number of each qualified pellet is 91.25%,which can meet the requirements of pellets production.The results have a positive effect on reducing the labor intensity of workers,and improving the production efficiency of pellets and the pass rate.