基于视觉辐条图案识别方法的蓝宝石引晶机制研究

工业生产蓝宝石晶体过程中,引晶步骤有着至关重要的地位。引晶必须在温度梯度较小,温度分布趋于稳定的条件下进行。目前,工业生产蓝宝石主要依靠人工经验操控籽晶杆实现引晶操作,但是人工引晶操作的准确性不高会导致成品品质不佳、资源浪费。为此,本文提出一种基于蓝宝石视觉辐条图案识别方法来检测蓝宝石熔体状态自由液面状态,从而实现一种高效率引晶的机制。此方法利用经典骨架化算法细化辐条图案,Harris算子实现特征信息的提取,提取的特征信息放入运动轨迹模型中判断熔体稳定性,分析液面温度分布稳定性从而实现引晶。结果表明,此算法具有有效性,蓝宝石晶体引晶效率大大提高,生产出的成品良率也有提升,可有效指导蓝宝石的工业生产。

Sapphire Seeding Mechanism Based on Visual Spoke Pattern Recognition Method

In the process of industrial production of sapphire crystals, the seeding step plays a vital role. Seeding needs to be performed under conditions where the temperature gradient is small and the temperature distribution tends to be stable. At present, the industrial production of sapphire mainly relies on manual experience to control the seed rod to achieve the crystal pilot operation, but the low accuracy of manual pilot operation will lead to poor quality of finished products and waste of resources. Therefore, this paper proposes a method based on sapphire visual spokes pattern recognition method to detect the free liquid surface state of sapphire melt, so as to realize an efficient crystal induction mechanism. In this method, classic skeletoning algorithm was used to refine the spoke pattern, and Harris operator was used to extract the characteristic information. The extracted characteristic information was put into the motion trajectory model to judge the stability of the melt, and the stability of the temperature distribution of the liquid surface was analyzed to achieve crystal induction. Experimental results show that this algorithm is effective, the efficiency of sapphire crystal seeding is greatly improved, and the yield of the finished product is also improved, which can effectively guide the industrial production of sapphire.