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基于亮度信息的人体解剖照片集直接成像方法

An Imaging Algorithm Using Anatomical Photographic Database Based on Luminance
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摘要 研究和讨论了可视人体解剖照片集的直接成像方法.由于解剖照片中的每个体素颜色值已经确定,因而主要研究如何从每个体素的R、G、B三原色组映射成特定阻光度值,即阻光度转换函数.首先计算 YIQ空间中的亮度分量 Y,然后基于 Y分量,在RGB空间中利用矢量角与欧氏距离的联合来计算彩色体素的梯度幅值,从而得到阻光度值,最后合成、累积颜色.实验结果表明:此算法不需复杂的色彩空间变换,成像质量高,可以表现人体毛细血管、纹理信息以及体内的细微结构. We discuss and research direct imaging approaches using the anatomical photographic database from the Visible Human Project.Since the color value for each voxel can be predetermined in the anatomical photographic database,we focused on the designing of mapping from an RGB tuple to an opacity value usually called opacity transfer function.In the algorithm,the Y component is first calculated in YIQ color space,then gradient magnitude is calculated to estimate opacity using the combination of vector angle and Euclidean Distance based on Y component in RGB color space.Experiments show that the algorithm can generate high quality images which can display capillary vessel,textures of the body and interior details without complex color space transformations.
出处 《中国科学技术大学学报》 CAS CSCD 北大核心 2005年第1期88-93,共6页 JUSTC
基金 安徽省自然科学基金资助项目(01042202)
关键词 体绘制 阻光度 转换函数 矢量角 欧氏距离 volume rendering opacity transfer function vector angle Euclidean distance
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