Morphologic Edge Detection

IEEE Journal on Robotics and Automation

Volumn 3, Issue 2, 1987, Pages 142-156

  Lee, James S J ^a,b   Haralick, Robert M ^a,c   Shapiro, Linda G ^a,c  

^a Machine Vision International   (United States)

^b BOEING COMPANY   (United States)

^c UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ROBOTICS - VISION SYSTEMS;

BINARY IMAGES; IMAGE REPRESENTATION; MORPHOLOGIC EDGE DETECTION; PIXELS;

IMAGE PROCESSING;

EID: 0023329685     PISSN: 08824967     EISSN: None     Source Type: Journal    
DOI: 10.1109/JRA.1987.1087088     Document Type: Article

References (41)

1. I. E. Abdou and W. K. Pratt, “ Quantitative design and evaluation of enhancement/thresholding edge detectors, ” Proc. IEEE, vol. 67, May 1979.
2. M. J. Brooks, “ Rationalizing edge detectors, ” Comput. Graphics Image Processing, vol. 8, pp. 277–285, 1978.
3. G. P. Dineen, “ Programming pattern recognition, ” in Proc. Western Joint Computer Conf., 1955, pp. 94–100.
4. R. O. Duda and P. E. Hart, Pattern Classification and Scene Analysis. New York: Wiley, 1973.
5. J. Foglein, “ On edge gradient approximations, ” Pattern Recognition Lett., pp. 429–434, 1983.
6. M. Golay, “ Hexagonal parallel pattern transformations, ” IEEE Trans. Comput., vol. C-18, pp. 733–740, 1969.
7. R. Haralick, “ Edge and region analysis for digital image data,” Comput. Graphics Image Processing, vol. 12, pp. 60–73, 1980.
8. —, “ The digital edge, ” in Proc. IEEE 1981 Conf. Pattern Recognition Image Processing. New York: IEEE Computer Society, 1981, pp. 285–294.
9. —, “ Zero-crossing of second directional derivative edge operator, ” presented at the Soc. Photogrammetric Instrumentation Engineers Symp. Robot Vision, Washington, DC, May 1982.
10. —, “ Digital step edges from zero crossing of second directional derivatives, ” IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-6, pp. 58–68, Jan. 1984.
11. R. Haralick and J. Lee, “ Neighborhood context dependent edge detection, ” IEEE Trans. Pattern Anal. Machine Intell, to be published.
12. M. Hueckel, “ An operator which locates edges in digitized pictures,” J. Assoc. Comput. Mach., vol. 18, pp. 113–25, 1971.
13. —, “ A local visual operator which recognizes edges and lines, ” J. Assoc. Comput. Mach., vol. 20, pp. 634–647, 1973.
14. R. A. Hummel, “ Feature detectioning basis functions, ” Comput. Graphics Image Processing, vol. 9, pp. 40–55, 1979.
15. R. A. Kirsch, “ Experiments in processing lifemotion with a digital computer, ” in Proc. Eastern Joint Computer Conf, 1957, pp. 221– 229.
16. R. Kirsch, “ Computer determination of the constituent structure of biological images, ” Comput. Biomed., Res., 4, pp. 315–328, 1971.
17. R. M. Landsman, L. B. Scott, and M. J. E. Golay, “ Apparatus for counting bi-nucleate lymplocytes in blood, ” US Patent 3 214 574, filed Oct. 8, 1959, issued Oct. 26, 1965.
18. Genesis 2000 BLIX Language Manual, Version 1.0, Machine Vision International Corp., 1984.
19. D. Marr and E. Hildreth, “ Theory of edge detection, ” Proc. Roy. Soc. London, B, vol. 207, pp. 187–217, 1980.
20. A. Martelli, “ An application of heuristic search methods to edge and contour detection, ” Commun. Ass. Comput. Mach., vol. 19, pp. 73– 83, Feb. 1976.
21. G. Matheron, “ Random sets and integral, ” in Geometry. New York: Wiley, 1975.
22. J. W. Modestino and R. W. Fries, “ Edge detection in noisy images using recursive digital filtering, ” Comput. Graphics Image Processing, vol. 6, pp. 409–433, 1977.
23. U. Montanari, “ On the optimal detection of curves in noisy pictures,” Commun. Ass. Comput. Mach., vol. 14, pp. 335–345, May 5, 1971.
24. G. A. Moore, “ Applications of computers to quantitative analysis of microstructure, ” U.S.W.B.S. Rep. 9428, 1966.
25. —, “ Automatic sensing and computer process for the quantitative analysis of micrographs and equivalued subjects, ” in Picturial Pattern Recognition. Thompson Book Co., 1968, pp. 275–326.
26. D. Morgenthaier, “ A new hybrid edge detector, ” Comput. Graphics Image Processing, vol. 16, pp. 166–176, 1981.
27. D. Morgenthaier and A. Rosenfeld, “ Multidimensional edge section by hypersurface fitting, ” IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-3, pp. 482–486, July 1981.
28. K. T. Preston, “ The cellscon system—A lencocyte pattern analyzer,” in Proc. Western Joint Comput. Conf., 1961, pp. 175–178.
29. —, “ Feature extraction by Golay hexagonal pattern transforms,” IEEE Trans. Comput., vol. C-20, pp. 1007–1014, 1971.
30. —, “ Multidimensional logical transforms, ” IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-5, pp. 539–554, Sept. 1983.
31. J. Prewitt, “ Object enhancement and extraction, ” in Picture Processing and Psychopictorics, B. Lipkin and A. Rosenfeld, Eds. New York: Academic, 1970, pp. 75–149.
32. G. S. Robinso, “Edge detectinn by compass gradient masks,” Comput. Graphics Image Processing, vol. 6, pp. 492–501, 1977.
33. A. Rosenfeld and A. Kak, Digital Picture Processing, vol. 2. New York: Academic, 1982.
34. J. Serra, Image Analysis and Mathematical Morphology. London: Academic, 1982.
35. K. S. Shanmugam, F. M. Dickey, and J. A. Green, “ An optimal frequency domain filter for edge detection in digital pictures, ” IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-1, pp. 37–49, 1979.
36. S. R. Sternberg, “ Cellular computers and biomedical image processing, ” in Lecture Notes in Medical Informations, vol. 17: Biomedical Images and Computers, Proceedings 1980, J. Sklansky and J. C. Bisconte, Eds. Berlin: Springer-Verlag, 1980, pp. 294–319.
37. —, “ Languages and architectures of parallel image processing, ” in Proc. Conf. Pattern Recognition in Practice, L. N. Kanal and E. S. Gelsema, Eds. Amsterdam, The Netherlands: North-Holland, 1980.
38. —, “ Biomedical image processing, ” IEEE Comput. Mag., vol. 16, Jan. 1983.
39. —, “ Gray-scale morphology, ” Comput. Graphics Image Processing, vol. 35, pp. 333–355, 1986.
40. S. W. Zucker, R. A. Hummel, and A. Rosenfeld, “ An application of relaxation labeling to line and curve enhancement, ” IEEE Trans. Comput., vol. C-26, pp. 394–403, Apr. 1977.
41. J. F. Brenner, J. M. Lester, and W. D. Selles, “ Scene segmentation in automatic histo-pathology: Techniques of Cytology Automation,” Pattern Recognition, vol. 13, pp. 65–77, 1981.