原煤的大小块率直接影响原煤的价格,所以煤炭生产企业迫切希望能够有效控制采出煤的块率,以提高企业的经济效益.以前多为人工统计,为了改变原煤块率人工统计效率较低的状况,提出了一种将图象处理与识别用于原煤块率监测的新方法,并研究了煤块图象的分割方法,同时采用直径测量法进行统计,从而取得了较好的效果.

Because the rate of lump coal influence the price directly, so coal enterprises hope to have a method to control the rate of lump coal and increase the economy profit. Previously manual work in statistics is processed. Now the new method is proposed in this paper to use image processing and image recognition to monitor the rate of lump coal. The image segmentation in the image of lump coal is discussed and the statistic method using diameter measuring is used in the paper.