Computational Visualization Center University of Texas at Austin   
   
COMPUTATIONAL VISUALIZATION CENTER

CVC Visualization Gallery



VolRover encapsulates functionalities, which are computer accelerated methods for contour extraction, dynamic mesh reduction for improved interactive display, real-time rendering working with compressed data stream, and using topological and volumetric quantitative signature for feature extraction, along with the filtering and feature extraction techniques, into volumetric exploratory visualization tool.

:Classfication and Segmentation - 3D Results 
Images are pre-filtered by Perona-Malik's method, and then segmented/classified by the fast marching method. The critical points are detected by the anisotropic vector diffusion, and classified by peak-searching of the histogram. All methods used for classification, filtering, and segmentation are developed in CCV, The University of Texas at Austin.
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:Classfication and Segmentation - 2D Results 
Images are pre-filtered by Perona-Malik's method, and then segmented/classified by the fast marching method. The critical points are detected by the anisotropic vector diffusion, and classified by peak-searching of the histogram. All methods used for classification, filtering, and segmentation are developed in CCV, The University of Texas at Austin.
Original image: slice #00
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Classification
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Segmentation
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Hand-picking result
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Original image: slice #10
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Classification
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Segmentation
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Hand-picking result
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Original image: slice #20
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Classification
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Segmentation
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Hand-picking result
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Original image: slice #30
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Classification
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Segmentation
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Hand-picking result
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Original image: slice #40
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Classification
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Segmentation
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Hand-picking result
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Original image: slice #50
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Classification
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Segmentation
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Hand-picking result
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Original image: slice #60
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Classification
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Segmentation
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Hand-picking result
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:3D Bilateral Filtering 
The 3D bilateral filtering is applied to the datasets. The following images are snapshots of the Volume Rover viz tool, which is developed in CCV, The University of Texas at Austin.
The original 'before dataset'
Overview
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The original 'before dataset'
View from another viewpoint
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The original 'before dataset'
Full Screen View
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The original 'after dataset'
Overview
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The original 'after dataset'
iew from another viewpoint
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The original 'after dataset'
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The 3D bilateral filtered version of the 'before dataset'
Overview
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The 3D bilateral filtered version of the 'before dataset'
View from another viewpoint
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The 3D bilateral filtered version of the 'before dataset'
Full Screen View
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The 3D bilateral filtered version of the 'after dataset'
Overview
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The 3D bilateral filtered version of the 'after dataset'
View from another viewpoint
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The 3D bilateral filtered version of the 'after dataset'
Full Screen View
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   Computational Visualization Center University of Texas at Austin