CAJ | 학술논문

数据可视化的数据预处理过程中会不可避免地导致数据的不确定性。以体数据中边界体元为研究对象，提出了基于多尺度空间的边界体元中多种物质的概率分布计算方法，并采用信息熵度量边界体元的不确定性，然后使用颜色渐变的方式将不确定性信息叠加绘制在表面模型上。实验表明，该方法能快速有效地计算和表示体数据中物质边界的不确定信息。
수거가시화적수거예처리과정중회불가피면지도치수거적불학정성。이체수거중변계체원위연구대상，제출료기우다척도공간적변계체원중다충물질적개솔분포계산방법，병채용신식적도량변계체원적불학정성，연후사용안색점변적방식장불학정성신식첩가회제재표면모형상。실험표명，해방법능쾌속유효지계산화표시체수거중물질변계적불학정신식。
The process of data preprocessing in data visualization leads to data uncertainty inevitably. Taking voxels in the boundary as our obj ects,this paper raised the possibility distribution measure based on multi-scale space to calculate the distribution of multiple kinds of data.Meanwhile,information entropy was introduced to quantify their uncertainties,which were then displayed as color gradient clothed on sur-face of volume data.Experiments have shown that our measures are able to effectively quantify and display the uncertainties of the boundaries.