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Using Pyramids to Define Local Thresholds for Blob Detection
March 1983 (vol. 5 no. 3)
pp. 345-349
M. Shneier, Computer Science Center, University of Maryland, College Park, MD 20742; U.S. Department of Commerce, National Bureau of Standards, Washington, DC 20234.
A method of detecting blobs in images is described. The method involves building a succession of lower resolution images and looking for spots in these images. A spot in a low resolution image corresponds to a distinguished compact region in a known position in the original image. Further, it is possible to calculate thresholds in the low resolution image, using very simple methods, and to apply those thresholds to the region of the original image corresponding to the spot. Examples are shown in which variations of the technique are applied to several images.
Citation:
M. Shneier, "Using Pyramids to Define Local Thresholds for Blob Detection," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 5, no. 3, pp. 345-349, March 1983, doi:10.1109/TPAMI.1983.4767397
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