Feature peeling

M. M. Malik, Torsten Möller, E. Gröller
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引用次数: 32

Abstract

We present a novel rendering algorithm that analyses the ray profiles along the line of sight. The profiles are subdivided according to encountered peaks and valleys at so called transition points. The sensitivity of these transition points is calibrated via two thresholds. The slope threshold is based on the magnitude of a peak following a valley, while the peeling threshold measures the depth of the transition point relative to the neighboring rays. This technique separates the dataset into a number of feature layers. The user can scroll through the layers inspecting various features from the current view position. While our technique has been inspired by opacity peeling approach, we demonstrate that we can reveal detectable features even in the third and forth layers for both CT and MRI datasets.
功能剥离
我们提出了一种新的绘制算法来分析沿视线的射线轮廓。根据在所谓的过渡点遇到的波峰和波谷对剖面进行细分。这些过渡点的灵敏度通过两个阈值进行校准。斜坡阈值是基于谷后峰的大小,而剥离阈值测量的是相对于邻近光线的过渡点的深度。这种技术将数据集分成许多特征层。用户可以滚动图层,从当前视图位置查看各种特征。虽然我们的技术受到不透明剥离方法的启发,但我们证明,即使在CT和MRI数据集的第三层和第四层,我们也可以显示可检测的特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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