中文摘要：

AFM 图象将由于拓宽尖端的效果被弄歪。它可以算术地在真实图象上作为尖端卷绕旋转的效果被代表。作为结果，样品表面的真几何学不能被获得。如果尖端形状能精确地被知道，如此的失真能随 disconvolution 操作的采纳被消除。实际意义实际意义。在为算法建模的当前的尖端之中，盲目尖端评价算法广泛地基于数学形态学被使用。然而，它花许多时间并且在定义最佳的噪音阀值有困难。鉴于上述问题，这篇论文建议一个新盲目尖端评估方法加速为计算建模的盲目尖端的速度并且认识到 AFM 图象的精确重建。模拟和试验性的结果表明上述研究方法的可行性和有效性。

英文摘要：

The AFM image will be distorted due to the tip-broadening effect. It may be mathematically represented as the effect of the tip＇s convolution on the real image. As a result, the true geometry of the sample surface can not be obtained. If the tip shape could be known accurately, such distortion can be eliminated with the adoption of disconvolution operation. It is of practical significance in the accurate reconstruction of the AFM image. Among the current tip modeling algorithms, the blind tip estimation algorithm based on mathematical morphology is widely applied. However, it takes much time and has difficulties in defining the optimal noise threshold. In view of the above problems, this paper proposes a new blind tip evaluation method to accelerate the speed of blind tip modeling calculation and realize the accurate reconstruction of the AFM image. The simulation and the experimental results demonstrate the feasibility and effectiveness of the above research method.