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Blob Detection by Relaxation
January 1981 (vol. 3 no. 1)
pp. 79-92
Alan J. Danker, Computer Vision Laboratory, Computer Science Center, University of Maryland, College Park, MD 20742; Computervision Corporation, Bedford, MA 01730.
Azriel Rosenfeld, FELLOW, IEEE, Computer Vision Laboratory, Computer Science Center, University of Maryland, College Park, MD 20742.
A blob is a compact region lighter (or darker) than its background surrounded by a smoothly curved edge. Blobs can be detected using cooperating relaxation processes to enhance their interior and edge probabilities. A discussion of the processes working independently and together is given. The use of a pyramidal relaxation structure, the use of the closedness of contours as an additional information source, and the extension of cooperating relaxation processes to a time sequence of images are also discussed.
Citation:
Alan J. Danker, Azriel Rosenfeld, "Blob Detection by Relaxation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 3, no. 1, pp. 79-92, Jan. 1981, doi:10.1109/TPAMI.1981.4767053
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