Real-time display and manipulation of 3-D medical objects: the Voxel processor architecture
Computer Vision, Graphics, and Image Processing
A muscle model for animation three-dimensional facial expression
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Efficient algorithms for 3D scan-conversion of parametric curves, surfaces, and volumes
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Fast surface tracking in three-dimensional binary images
Computer Vision, Graphics, and Image Processing
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D imaging in medicine
Graphical Models and Image Processing
Topological Algorithms for Digital Image Processing
Topological Algorithms for Digital Image Processing
Fast Visualization, Manipulation, and Analysis of Binary Volumetric Objects
IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications
Composition of Image Analysis Processes Through Object-Centered Hierarchical Planning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Volume Rendering Using a Shear-Warp Factorization of the Viewing Transformation
Fast Volume Rendering Using a Shear-Warp Factorization of the Viewing Transformation
Back-to-Front Display of Voxel Based Objects
IEEE Computer Graphics and Applications
Abstraction Pyramids on Discrete Representations
DGCI '02 Proceedings of the 10th International Conference on Discrete Geometry for Computer Imagery
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In many application areas of imaging sciences, object information captured in multi-dimensional images needs to be extracted, visualized, manipulated, and analyzed. These four groups of operations have been (and are being) intensively investigated, developed, and applied in a variety of applications. In this paper, after giving a brief overview of the four groups of operations, we put forth two main arguments: (1) Computers are digital, and most image acquisition and communication efforts at present are toward digital approaches. In the same vein, there are considerable advantages to taking an inherently digital approach to the above four groups of operations rather than using concepts based on continuous approximations. (2) Considering the fact that images are inherently fuzzy, to handle uncertainties and heterogeneity of object properties realistically, approaches based on fuzzy sets should be taken to the above four groups of operations. We give two examples in support of these arguments.