1) 3D image
三维图象
1.
A novel iterative approach is proposed for precise aligning multiple 3D images captured from difference views of a natural object surface in one reference coordinate system.
为了高质量准确地对物体多视角三维图象进行快速对齐复位 ,提出了一种将多个视角三维自然曲面数据精确对齐复位于同一坐标系中的新型迭代方法 。
2) D image
三维图象
1.
In order to process a 3D image by the stochastic method based on 2D Markov Random Field(MRF), the authors proposed a 3D MRF image model.
为了用随机的方法对三维图象进行处理 ,在二维 Markov场图象模型的基础上 ,建立了三维 Markov场图象模型。
2.
D image Markov Random Field (MRF) model extended from 2D to 3D based on notion and property of Markov process is proposed and a stochastic method for 3D image process is set up as well.
本文从 Markov过程的概念和性质出发 ,将 Markov场图象模型从二维推广到三维 ,建立了基于Markov场的三维图象数学模型 ,为三维图象的处理提供了一种随机方
3) D image segmentation
三维图象分割
4) 3D hyperspectral images
三维超光谱图象
1.
In our study of Compression System of 3D hyperspectral images,we have disigned two quantization:one as of 1 D arctangnet mapping quantization,the other as of 2 D image edge retaining quantization.
在研制的三维超光谱图象压缩系统中 ,针对三维超光谱图象自身和应用的特点 ,设计出了一维反正切型映射量化器和二维具有图象边缘特征保持特性的量化器 。
5) reestablishment of three dimensional image
三维图象重建
6) Three dimensional medical image
三维医学图象
补充资料:石墨表面结构的三维图象
石墨表面结构的三维图象
材科通石买表面结构的一维图军,图巾月出的小松为碳冲子 hLL]卜过凌化一乒研尤「供稿
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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