Abstract
A new technique for automatic determination of object boundaries in image processing is proposed. This approach is based on the zoom-thresholding technique which determines the optimal threshold for the fuzzy boundary of an object. The optimization process is accomplished by minimizing a performance criterion.
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References
J. K. Hawkins, “Image Processing Principles and Techniques,” inAdvances in Information Systems Science, Vol. 3, J. T. Tou, ed. (Plenum Press, New York, 1970).
K. S. Lashley, “The Problem of Cerebral Organization in Vision,” inBiology Symposium, Vol. VII, Visual Mechanisms, H. Klüver, ed. (The Jacques Cottell Press, Lancaster, Pennsylvania, 1942).
J. M. Prewitt and M. L. Mendelsohn, “The analysis of cell images,”Ann. NY Acad. Sci. (1966).
G. L. Wied and G. F. Bahr, eds.,Automated Cell Identification and Cell Sorting (Academic Press, New York, 1970).
A. Rosenfeld and M. Thurston, “Edge and curve detection for visual scene analysis,”IEEE Trans. Comput. 20:562–569 (1971).
C. K. Chow and T. Kaneko, “Automatic Boundary Detection of the Left Ventricle from Cineangiograms,” inComputer and Biomedical Research, Vol. 5 (1972).
J. T. Tou, “Automatic Pattern Processing Approach to Particle Morphology Study,”Proceedings of the International Powder Institute Conference (1978).
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Tou, J.T. Zoom-thresholding technique for boundary determination. International Journal of Computer and Information Sciences 8, 3–8 (1979). https://doi.org/10.1007/BF00995425
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DOI: https://doi.org/10.1007/BF00995425