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出 处:《计算机应用与软件》2010年第4期203-206,229,共5页Computer Applications and Software
摘 要:随着矢量场数据规模的增加,不论是采用流线还是基于LIC技术绘制流场,其绘制速度都是评价其性能的重要指标,此外由于流线数量增加,流线会在临界点附近产生长流线汇聚问题,导致视觉混乱,冗余计算过多等问题。为了解决上述问题,提出了"改进的平坦种子生成策略"和"FSeedLIC算法",设计并实现了矢量场可视化系统。通过实验表明采用改进的平坦种子生成策略的流线生成算法其加速效果平均能达到70%,产生的流线更加均匀,解决了长流线在密集区域汇聚的问题;FSeedLIC算法相对LIC算法在得到相同的可视化效果的条件下,其加速比平均在60%以上。With the increase of data scale of vector field,no matter to use streamline or to base on LIC techniques to render the flow field,the rendering speed is always an important index in evaluating its property.Moreover,due to the increase of streamline's density,the streamline will jam-pack near the critical point region,which can induce the vision confusion and produce much redundant computation and so on.In order to solve those problems,we come up with the"improved evenly-spaced streaming placement seed forming strategy"and the FSeed LIC algorithm,and designed and implemented the visualising system of the vector field.It is indicated through the experiment that by using the streamline generation algorithm of improved evenly-spaced streaming placement seed forming strategy,its speedup effect is able to achieve up to 70% in average with more uniform streamline yielded,which has resolved the jam-pack problem of long streamlines in dense region.Compared with LIC algorithm,the FSeed LIC algorithm gains its speedup ratio over 60% in average in the condition of achieving the same visualising effect.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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