CAJ | 학술논문

传统体绘制方法难以清晰地展现体数据的内部结构，本文提出了基于连续框架的利用数据拓扑特征增强体绘制的新方法。该方法首先利用7方向box样条拟插值对离散数据进行连续重建，然后通过求解多项式系统得到数据场中的特征点分布；从鞍点出发可以在连续模型上计算出鞍极曲线，本文提出以鞍极曲线长度给特征点值分布加权得到含权特征点直方图，并依据直方图信息重新设计体绘制的传输函数来增强体绘制。实验结果表明，与离散框架的方法相比，文中方法更加简单可靠，且可视化结果具有更好的平滑性，能清晰地反映体数据内部的细微结构。
전통체회제방법난이청석지전현체수거적내부결구，본문제출료기우련속광가적이용수거탁복특정증강체회제적신방법。해방법수선이용7방향box양조의삽치대리산수거진행련속중건，연후통과구해다항식계통득도수거장중적특정점분포；종안점출발가이재련속모형상계산출안겁곡선，본문제출이안겁곡선장도급특정점치분포가권득도함권특정점직방도，병의거직방도신식중신설계체회제적전수함수래증강체회제。실험결과표명，여리산광가적방법상비，문중방법경가간단가고，차가시화결과구유경호적평활성，능청석지반영체수거내부적세미결구。
Traditional visualization approaches for volumetric data are not able to reflect clear interior structures of input data. We present a method to enhance volume rendering by topological features under a continuous framework. A continuous field is first reconstructed from discrete data by 7-directional box spline quasi-interpolation, and critical points are obtained from gradient polynomial systems. Then sad-dle-extremum arcs are computed from the continuous field, and the lengths of them are used to build a weighted critical value histogram, which helps to design a new transfer function. Compared with those ex-isting discrete approaches, our method is easier to implement and the results are smoother and clearer.