Explicit frequency control for high-quality texture-based flow visualization
Explicit frequency control for high-quality texture-based flow visualization
复制标题
显式频率控制，实现基于纹理的高质量流可视化
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
J. Krüger
中科院分区：
文献类型：
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作者：
V. Matvienko;J. Krüger
在这项工作中，我们提出了一种有效的频率控制密集流可视化方法，该方法源自线积分卷积（LIC）技术的推广。我们的方法包括将密集流可视化过程的光谱属性视为在与流对齐的局部曲线坐标系中定义的积分算子。从这个角度探索 LIC，我们提出了一种系统的方法来设计具有结果图像的特定局部空间频率属性的流可视化过程。我们的方法高效、直观，并且基于大量感知研究开发的长期模型。该方法可以描述为线积分卷积的迭代应用，然后是与流正交的一维 Gabor 滤波。为了展示该技术的实用性，我们生成了新颖的自适应多频率流可视化，根据我们的评估，与基于纹理的流可视化中的传统方法相比，其具有更高水平的频率控制和更高的质量分数。
In this work we propose an effective method for frequency-controlled dense flow visualization derived from a generalization of the Line Integral Convolution (LIC) technique. Our approach consists in considering the spectral properties of the dense flow visualization process as an integral operator defined in a local curvilinear coordinate system aligned with the flow. Exploring LIC from this point of view, we suggest a systematic way to design a flow visualization process with particular local spatial frequency properties of the resulting image. Our method is efficient, intuitive, and based on a long-standing model developed as a result of numerous perception studies. The method can be described as an iterative application of line integral convolution, followed by a one-dimensional Gabor filtering orthogonal to the flow. To demonstrate the utility of the technique, we generated novel adaptive multi-frequency flow visualizations, that according to our evaluation, feature a higher level of frequency control and higher quality scores than traditional approaches in texture-based flow visualization.