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Issue No.06 - June (1987 vol.9)
pp: 742-751
Arnulfo Perez , Department of Electrical and Computer Engineering, University of Tennessee, Knoxville, TN 37996.
A thresholding technique is developed for segmenting digital images with bimodal reflectance distributions under nonuniform illumination. The algorithm works in a raster format, thus making it an attractive segmentation tool in situations requiring fast data throughput. The theoretical base of the algorithm is a recursive Taylor expansion of a continuously varying threshold tracking function.
Arnulfo Perez, "An Iterative Thresholding Algorithm for Image Segmentation", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.9, no. 6, pp. 742-751, June 1987, doi:10.1109/TPAMI.1987.4767981
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