基于形状保持主动轮廓模型长直条的检测

通过形状约束方程（组）与一般主动轮廓模型结合，将目标形状与主动轮廓模型融合到统一能量泛函模型中，提出一种形状保持主动轮廓模型。模型通过参数化水平集函数的零水平集表示某一类特定形状，不仅达到了分割即目标的目的，而且能够给出特定目标的定量描述。根据形状保持主动轮廓模型，建立一个用于长直条状目标检测的统一能量泛函模型，导出相应的Euler-Lagrange 常微分方程并用水平集方法实现了长直条状区域的检测。此形状保持模型的一种特殊情况可以用于直线状地平（海天）线提取。实验结果表明，该模型不仅能够准确地检测出给定图像中的长直条状区域而且有很强的抗噪、抗变形及遮挡性能

Long Straight Bar Detection Based on Shape Preserving Active Contour Model

With the constant development of Intemet, the possibility of severe Internet congestion collapse receives much more concern. Efficient congestion control mechanism is one of the key elements to the stability of Internet. To solve the congestion problems, a PID control mechanism based on single nerve cell self-adaptive control algorithm is proposed and analyzed. Simulation that runs on the OPNET software is carried out on multilevel node traffic model. Simulation results show that the proposed mechanism works well in terms of stability of the all levels queue size and system robustness.