自适应颜色映射及其在空洞演化可视化中的应用

为了提升材料空洞演化的可视化效果,提出一种基于数据特征的自适应颜色映射方法。首先,在CIELAB颜色空间中选取若干控制点,形成初始颜色路径;然后,考虑数据特征值占比,根据色差均匀、亮度一致性等约束条件来优化控制点的位置,调整颜色路径,以满足控制点自适应跟随数据的要求;最后,通过均衡化算法来重映射感知差异总和的分布,优化颜色映射的感知均匀性来形成最终颜色映射图。实验结果表明,与以往仅考虑颜色空间、忽略数据多样性的传统颜色映射方法相比,所提方法充分考虑颜色配比、控制点个数、自适应因素,提升了可视化结果的特征可辨识性,并且保证了空洞演化可视化结果的感知均匀性,提高了可视化结果的准确性,缩减了观测有效信息所需时长。

Adaptive color mapping and its application in void evolution visualization

In order to improve the visualization effect of the void evolution of materials, an adaptive color mapping method based on data characteristics was proposed. Firstly, a number of control points were selected in the CIELAB color space to form an initial color path. Then, based on the proportion of the data characteristic values, the positions of control points were optimized and the color path was adjusted according to the constraints such as uniformity of color difference and consistency of brightness, so as to meet the requirement of control points following the data adaptively. Finally, the distribution of the perceptual difference sum was remapped by the equalization algorithm, and the perceptual uniformity of the color mapping was optimized to form the final color map. The experimental results show that, compared with traditional color mapping methods which only consider the color space and ignore the diversity of data, the proposed adaptive color mapping method has better identifiability of the characteristics of visualization results by fully considering the color proportion, the number of control points and self-adaptation, and guarantees the perceptual uniformity of the visualization results of the void evolution, improving the accuracy of visualization results and reduces the time required to observe effective information.