Abstract
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, 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.
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Cho, Z.H., Jones, J.P., Singh, M.: Foundations of Medical Imaging. John Wiley & Sons, Inc., New York (1993)
Udupa, J., Herman, G. (eds.): 3D Imaging in Medicine, 2nd edn. CRC Press, Boca Raton (1999)
Lorensen, W., Cline, H.: Marching Cubes: A High Resolution 3D Surface Construction Algorithm. Computer Graphics 21, 163–169 (1987)
Udupa, J.K., Srihari, S.N., Herman, G.T.: Boundary Detection in Multidimensions. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI 4, 41–50 (1982)
Grevera, G.J., Udupa, J.K.: Order of Magnitude Faster Surface Rendering Via Software in a PC Than Using Dedicated Hardware. In: SPIE Proceedings, vol. 3658, pp. 202–211 (1999)
Herman, G., Liu, H.: Three-Dimensional Display of Human Organs from Computed Tomograms. Computer Graphics and Image Processing 9, 679–698 (1979)
Kaufman, A.: Efficient Algorithms for 3-D Scan Conversion of Parametric Curves, Surfaces, and Volumes. Computer Graphics 21, 171–179 (1987)
Levoy, M.: Display of surfaces from volume data. IEEE Computer Graphics and Applications 8(3), 29–37 (1988)
Elvins, T.T.: A Survey of Algorithms for Volume Visualization. Computer Graphics 26(3), 194–201 (1992)
Udupa, J.K., Hung, H.-M.: Surface Versus Volume Rendering: A Comparative Assessment. In: IEEE Computer Soc. Proc. First Conference on Visualization in Biomedical Computing, pp. 83–91 (1990)
Drebin, R., Carpenter, L., Hanrahan, P.: Volume rendering. Computer Graphics 22, 65–74 (1988)
Cabral, B., Cam, N., Foran, J.: Accelerated Volume Rendering and Tomographic Reconstruction Using Texture Mapping Hardware. In: Symposium on Volume Visualization, pp. 91–98 (1994)
Udupa, J.K., Odhner, D.: Fast Visualization, Manipulation, and Analysis of Binary Volumetric Objects. IEEE Computer Graphics and Applications 11(6), 53–62 (1991)
Udupa, J.K., Odhner, D.: Shell Rendering. IEEE Computer Graphics and Applications 13(6), 58–67 (1993)
Udupa, J.K., Goncalves, R.J., Iyer, K., Narendula, S., Odhner, D., Samarasekera, S., Sharma, S.: 3DVIEWNIX: An open, transportable software system for the visualization and analysis of multidimensional, multimodality, multiparametric images. In: SPIE Proc. Medical Imaging 1993: Image Capture, Formatting, and Display, vol. 1897, pp. 47–58 (1993)
Part, B.: Generate a Fuzzy Surface for Volume Rendering, Tutorial 2: How to create 3D objects, Medical Image Processing Group, Dept. of Radiology, University of Pennsylvania, Philadelphia, PA, http://www.mipg.upenn.edu/~Vnews/tutorial/tutorial2.html
Udupa, J.K., Samarasekera, S.: Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image Segmentation. Graphical Models and Image Processing 58(3), 246–261 (1996)
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Udupa, J.K., Grevera, G.J. (2005). Go Digital, Go Fuzzy. In: Pal, S.K., Bandyopadhyay, S., Biswas, S. (eds) Pattern Recognition and Machine Intelligence. PReMI 2005. Lecture Notes in Computer Science, vol 3776. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590316_17
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DOI: https://doi.org/10.1007/11590316_17
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