Research of ore particle size detection based on image processing

Abstract

The size distribution of ore particles is an important basis for evaluating the crushing effect, and is also the main index for the optimal control of mineral processing equipment. Image processing technology is used to process the images collected by the camera on line, which can get the information of ore particle size in real time and feedback or adjust the parameters of the crushing machine in time. We first study the image pretreatment methods on ore images to separate foreground and background images. Then the improved watershed segmentation algorithm is used to segment the ore images. Finally, the distribution information of the ore particle can be obtained through the projected diameter of the ore particles. The experimental results show that the analysis results are effective in real applications, which can meet the needs of on-line detection of ore particles.