CAJ | 학술논문

传统的光线投射算法能够得到清晰的体绘制图像，但由于其运行量巨大，导致速度慢，性能低。J．Krue ger等人提出了基于GPU的光线投射算法大幅度地提高了绘制性能，但在图像融合阶段仍未能充分利用GPU的向量运算的优势。为此，本文将图像融合阶段部分标量运算转换为向量和矩阵运算，绘制性能得到了进一步提升。
전통적광선투사산법능구득도청석적체회제도상，단유우기운행량거대，도치속도만，성능저。J．Krue ger등인제출료기우GPU적광선투사산법대폭도지제고료회제성능，단재도상융합계단잉미능충분이용GPU적향량운산적우세。위차，본문장도상융합계단부분표량운산전환위향량화구진운산，회제성능득도료진일보제승。
Traditional RaY-casting algerithm can get clear image,but the performance is low because of the huge computing. J.Krue get and other igeople posed a new algorithm based on GPU which make a big step on performance.But in the stage＇of image composition,the advantages of the vector computing on GPU can not be used very well.So,this thesis transfer the scalar computing into vector computing on image composition stage,which make further progress.