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Abstract

We present a novel rendering algorithm that analyses the ray profile along the line of sight during rendering and cuts it into layers, according to the peaks and valleys found, which we call transition points. The sensitivity of these transition points is calibrated via two thresholds. The slope threshold influences 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 [14], we demonstrate that we can reveal detectable features even in the third and forth layers for both, CT and MRI datasets.

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BibTeX

@techreport{TR-186-2-07-03,
  title =      "Feature Peeling",
  author =     "Muhammad Muddassir Malik and Torsten M{"o}ller and Meister
               Eduard Gr{"o}ller",
  year =       "2007",
  abstract =   "We present a novel rendering algorithm that analyses the ray
               profile along the line of sight during rendering and cuts it
               into layers, according to the peaks and valleys found, which
               we call transition points. The sensitivity of these
               transition points is calibrated via two thresholds. The
               slope threshold influences 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
               [14], we demonstrate that we can reveal detectable features
               even in the third and forth layers for both, CT and MRI
               datasets.",
  month =      feb,
  number =     "TR-186-2-07-03",
  address =    "Favoritenstrasse 9-11/186, A-1040 Vienna, Austria",
  institution = "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology",
  note =       "human contact: technical-report@cg.tuwien.ac.at",
  keywords =   "transfer function, volume visualization, feature peeling,
               ray analysis",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-03/",
}