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• W2071592299 abstract "data sets. To fully utilize the results of costly computations and measurements effective visualizationmethods are required to interpret the data), 2, 3 Prior methods based on contour plots, mesh sur-faces, or titled structures are not adequate. Structure modeling does not have the capacity neededfor display and interpretation; data interpretation is more complex than every day vision. The usermay wish to visualize a nebulous 3D region, data without distinct surfaces or structures, or a regionburied inside a larger structure, or interrelate 3D regions in different data sets.Optical modeling has been used to visualize and interpret data in a variety of application areas.The optical model of a data set is based on mapping each data value into a color and attenuation.A wide range of visualization methods are feasible. Solids, shaded surfaces, translucent regions, andtextured volume can be formed by simply changing the parameter maps. Invisible numbers are ex-pressed in terms of visible entities.Harris presents a flexible one component optical model.4. 5 Data values are expressed as voxellightness. The 3D data volume is projected onto the image plane; voxel values behind each imagepixel are summed along a ray perpendicular to the plane. A weighting function along the projectingrays is used to display selected depths in full brightness with other depths displayed dimly for ref-erence. In some cases a weighting function is used to display a structure (i.e., a value range) in fullbrightness with the remaining voxels displayed dimly. This option is very effective when used withstero or animated rotation. Yokoa combines semi -transparent imaging with binocular stereo to dis-play biomedical tissue sections.6Lenz also uses a single component model, except that each projected pixel values is an expo-nential function of the data sum along the ray.7. 8 A gradient filter is used to enhance borders or re-gions of rapid change. Hahne and Tiede use an approach similar to Harris; in some cases a data" @default.
• W2071592299 created "2016-06-24" @default.
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• W2071592299 date "1989-09-11" @default.
• W2071592299 modified "2023-09-23" @default.
• W2071592299 title "Visualization Of Complex Data" @default.
• W2071592299 doi "https://doi.org/10.1117/12.952883" @default.
• W2071592299 hasPublicationYear "1989" @default.
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