Abstract
Computer image-processing techniques are often used in, for example, the analysis of thin sections of reservoir rock because of the large amounts of data contained in a single digitized section image. Erosion and dilation are operations frequently used in this type of work to iteratively smooth the pore perimeters and in estimating pore radii, volume, and roughness. Because of the size of each image, erosion and dilation of pore complex images is a time-consuming process. A recent method calledglobal erosion is much faster whether used on small, in-memory images or large images residing on a file. Use of this method should allow processing of larger images, or a greater number of small images, than do the standard methods.
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References
Calabi, L., and Hartnett, W. E. (1968). Shape recognition, prairie fires, convex deficiencies and skeletons,Am. Math. Mon. 75, 335–342.
Daley, P. F., Racscke, K., Ball, J. T., and Berry, J. A. (1989). Topography of photosynthetic activity of leaves obtained from video images of chlorophyll flourescence,Plant Physiol. 90(4), 1233–1242.
Ehrlich, R., Kennedy, S. K., Crabtree, S. J., and Cannon, R. L. (1984). Petrographic image analysis of reservoir pore complexes,J. Sedimentary Petrol. 54(4), 1365–1378.
Marshall, S. (1989). Review of shape coding techniques,Image Vision Comput. 7(4), 281–294.
Matheron, G. (1967).Elements Pour une Théorie des Milieux Poreux, Mason, Paris.
Matheron, G. (1975).Random Sets and Integral Geometry, Wiley, New York.
Parker, J. R. (1988). A faster method for erosion and dilation of reservoir pore complex images,Can. J. Earth Sci. 25, 1128–1131.
Parker, J. R. (1988). Extracting vectors from raster images,Comput. Graphics 12(1), 29–36.
Parker, J. R. (1989). On the conversion of filled polygonal regions from raster to vector representation,The Computer Journal 32(6), 549–553.
Pavlidis, T. (1982).Algorithms for Graphics and Image Processing, Computer Science Press, Rockville, Maryland, p. 199–208.
Pratt, W. K. (1978).Digital Image Processing, John Wiley & Sons, New York, p. 519–520.
Rink, M. (1976). A computerized quantitative image analysis procedure for investigating features and an adaptive image process,J. Microsc. 107(3), 267–286.
Rosenfeld, A., and Kak, A. C. (1982).Digital Picture Processing, Vol. 2 (Second Edition), Academic Press, New York.
Serra, J. (1982).Image Analysis and Mathematical Morphology, Academic Press, London.
Silage, D. A., and Gil, J. (1988). Morphometric measurement of local curvature of the alveolar ducts in lung mechanics,J. Appl. Physiol. 65(4), 1592–1597.
Smeulders, A. W. M., and ten Kate, T. K. (1987). Accuracy of optical density measurement of cells. 1: Low resolution,Appl. Opt. 26(6), 3249–3257.
Sternberg, S. R. (1982). Esoteric iterative algorithms, inDigital Image Analysis, Levialdi, S. (ed.), Pitman Publishing, p. 60–68.
Young, I. T., Peverini, R. L., and van Otterloo, P. J. (1981). A new implementation for the binary and Minkowski operators,Comput. Graphics Image Process. 17, 211–224.
Young, I. T., Walker, J. E., and Bowie, J. E. (1974). An analysis technique for biological shape,Inf. Control 25, 357–370.
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Parker, J.R. A system for fast erosion and dilation of Bi-level images. J Sci Comput 5, 187–198 (1990). https://doi.org/10.1007/BF01089163
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DOI: https://doi.org/10.1007/BF01089163