Using traditional particle tracking velocimetry based on optical flow for measuring areas with large velocity gradient changes may cause oversmoothing,resulting in significant measurement errors.To address this proble...Using traditional particle tracking velocimetry based on optical flow for measuring areas with large velocity gradient changes may cause oversmoothing,resulting in significant measurement errors.To address this problem,the traditional particle tracking velocimetry method based on an optical flow was improved.The level set segmentation algorithm was used to obtain the boundary contour of the region with large velocity gradient changes,and the non-uniform flow field was divided into regions according to the boundary contour to obtain sub-regions with uniform velocity distribution.The particle tracking velocimetry method based on optical flow was used to measure the granular flow velocity in each sub-region,thus avoiding the problem of granular flow distribution.The simulation results show that the measurement accuracy of this method is approximately 10%higher than that of traditional methods.The method was applied to a velocity measurement experiment on dense granular flow in silos,and the velocity distribution of the granular flow was obtained,verifying the practicality of the method in granular flow fields.展开更多
Re-initialization procedure in level-set interface capturing method were investigated. The algorithm accomplishes the re-initialization step through locking the interface positions. Better accuracy was obtained both o...Re-initialization procedure in level-set interface capturing method were investigated. The algorithm accomplishes the re-initialization step through locking the interface positions. Better accuracy was obtained both on the interface positions and the total fluid volume keeping. Though one more step of the interpolations is added in the procedure, there is no significant increase in total machine time spent.展开更多
This paper proposes a novel implementation of the level set method that achieves real-time level-set-based object tracking. In the proposed algorithm, the evolution of the curve is realized by simple operations such a...This paper proposes a novel implementation of the level set method that achieves real-time level-set-based object tracking. In the proposed algorithm, the evolution of the curve is realized by simple operations such as switching values of the level set functions and there is no need to solve any partial differential equations (PDEs). The object contour could change due to the change in the location, orientation or due to the changeable nature of the object shape itself. Knowing the contour, the average color value for the pixels within the contour could be found. The estimated object color and contour in one frame are the bases for locating the object in the consecutive one. The color is used to segment the object pixels and the estimated contour is used to initialize the deformation process. Thus, the algorithm works in a closed cycle in which the color is used to segment the object pixels to get the object contour and the contour is used to get the typical-color of the object. With our fast algorithm, a real-time system has been implemented on a standard PC. Results from standard test sequences and our real time system are presented.展开更多
根据Level-Set方法和VOF方法的优缺点,近年来兴起了一类界面追踪的耦合方法——CLSVOF(Coupled Level-Set and Volume-of-Fluid Method)方法。本文阐述了该方法的耦合实现过程,通过旋转流场和剪切流场2个算例验证了CLSVOF方法相比Level-...根据Level-Set方法和VOF方法的优缺点,近年来兴起了一类界面追踪的耦合方法——CLSVOF(Coupled Level-Set and Volume-of-Fluid Method)方法。本文阐述了该方法的耦合实现过程,通过旋转流场和剪切流场2个算例验证了CLSVOF方法相比Level-Set方法实现了计算过程中的物理量守恒,克服了VOF方法难以准确计算界面的法向和曲率的缺点。使用该方法对溃坝模型进行计算,并将数值模拟结果进行对比分析。结果表明:CLSVOF方法计算结果更加接近于实验结果,该方法相比其他界面追踪方法具有更高的运动界面追踪分辨率。由此说明CLSVOF方法模拟具有自由表面流动工程实际问题的精确性和可行性。展开更多
文摘Using traditional particle tracking velocimetry based on optical flow for measuring areas with large velocity gradient changes may cause oversmoothing,resulting in significant measurement errors.To address this problem,the traditional particle tracking velocimetry method based on an optical flow was improved.The level set segmentation algorithm was used to obtain the boundary contour of the region with large velocity gradient changes,and the non-uniform flow field was divided into regions according to the boundary contour to obtain sub-regions with uniform velocity distribution.The particle tracking velocimetry method based on optical flow was used to measure the granular flow velocity in each sub-region,thus avoiding the problem of granular flow distribution.The simulation results show that the measurement accuracy of this method is approximately 10%higher than that of traditional methods.The method was applied to a velocity measurement experiment on dense granular flow in silos,and the velocity distribution of the granular flow was obtained,verifying the practicality of the method in granular flow fields.
文摘Re-initialization procedure in level-set interface capturing method were investigated. The algorithm accomplishes the re-initialization step through locking the interface positions. Better accuracy was obtained both on the interface positions and the total fluid volume keeping. Though one more step of the interpolations is added in the procedure, there is no significant increase in total machine time spent.
文摘This paper proposes a novel implementation of the level set method that achieves real-time level-set-based object tracking. In the proposed algorithm, the evolution of the curve is realized by simple operations such as switching values of the level set functions and there is no need to solve any partial differential equations (PDEs). The object contour could change due to the change in the location, orientation or due to the changeable nature of the object shape itself. Knowing the contour, the average color value for the pixels within the contour could be found. The estimated object color and contour in one frame are the bases for locating the object in the consecutive one. The color is used to segment the object pixels and the estimated contour is used to initialize the deformation process. Thus, the algorithm works in a closed cycle in which the color is used to segment the object pixels to get the object contour and the contour is used to get the typical-color of the object. With our fast algorithm, a real-time system has been implemented on a standard PC. Results from standard test sequences and our real time system are presented.
文摘根据Level-Set方法和VOF方法的优缺点,近年来兴起了一类界面追踪的耦合方法——CLSVOF(Coupled Level-Set and Volume-of-Fluid Method)方法。本文阐述了该方法的耦合实现过程,通过旋转流场和剪切流场2个算例验证了CLSVOF方法相比Level-Set方法实现了计算过程中的物理量守恒,克服了VOF方法难以准确计算界面的法向和曲率的缺点。使用该方法对溃坝模型进行计算,并将数值模拟结果进行对比分析。结果表明:CLSVOF方法计算结果更加接近于实验结果,该方法相比其他界面追踪方法具有更高的运动界面追踪分辨率。由此说明CLSVOF方法模拟具有自由表面流动工程实际问题的精确性和可行性。
