基于二维图片三维器官重构方法研究

Based on Two-Dimensional Picture 3d Organs Reconstruction

人体图像真实性优化问题,研究器官的三维重构。针对传统的医学器官图像采集过程中都是二维图片,使得一些器官的立体特征丢失,造成器官图像真实感、立体感不高的问题,提出了基于奇异值分解的器官建模方法,由图像采集模块,坐标采集模块、图片三维化模块等部分组成,以多张平面二维的人体器官图片为基础,利用矩阵的转化、奇异值分解等数学知识,实现真实感器官建模,并进行仿真。结果表明,方法能够根据二维图片建立有效的器官模型,模型的真实感和清晰度达到了逼真的效果,为设计提供了依据。

Study 3d reconstruction organ problem. Traditional medical organs image acquisition process acquests two-dimensional pictures, which may miss some three-dimensional organs features, and cause poor sense of reality and third dimension. The paper put forward an organs modeling method based on singular value decomposition. The , method includes acquisition module, 3d coordinate acquisition, and three-dimensional pictures. Based on more than one 2-d of human organs images, using matrix transformation and singular value decomposition, the organ modeling was completed. Experimental results showed that the method can establish effective organ models according to two-dimension images, and the reality and clarity are satisfactory.