CAJ | 학술논문

提出了一种新算法--IRVR(Image Recognition Volume Rendering),该算法能大幅降低冗余数据,从而提升体绘制速度.IRVR算法首先利用交叉熵阈值分割法从三维数据集中将物体像素和背景像素识别出来,然后将迭代光线追踪方法和物体检测采样策略结合起来对原始三维数据集进行采样.接着运用快速迭代法对分类数据集进行采样,从而定位视线与原始数据集的交点.IRVR算法还应用了准确正规采样方法(例如,三线性插值、样条插值等)在体绘制过程中对原始数据集进行插值.经过实验得出的结论证明IRVR算法既能提高体绘制的速度,又可以保证体绘制图像的质量.
제출료일충신산법--IRVR(Image Recognition Volume Rendering),해산법능대폭강저용여수거,종이제승체회제속도.IRVR산법수선이용교차적역치분할법종삼유수거집중장물체상소화배경상소식별출래,연후장질대광선추종방법화물체검측채양책략결합기래대원시삼유수거집진행채양.접착운용쾌속질대법대분류수거집진행채양,종이정위시선여원시수거집적교점.IRVR산법환응용료준학정규채양방법(례여,삼선성삽치、양조삽치등)재체회제과정중대원시수거집진행삽치.경과실험득출적결론증명IRVR산법기능제고체회제적속도,우가이보증체회제도상적질량.
A new algorithm (Image Recognition Volume Rendering,IRVR) is developed in this paper,which can remarkably decrease the redundant data during volume rendering.The IRVR algorithm uses the minimun cross-entropy threshold selection method to detecte the object and background voxels from a three dimensional dataset.An iterating ray tracing method combined with the objects detection sampling strategy is developed to sample the original dataset.The fast iterative method is implemented to sampling the classification dataset for locating the intersection position of the viewing ray and the original dataset.And the precise normal sampling method (for example,trilinear interpelation,spline interpolation,etc.) is applied to extract the gray value from the original dataset for volume rendering.The experiment result is given in this paper.It proves that the IRVR algorithm can improve the volume rendering speed and guarantee the quality of the volume rendering results.