Issue No. 06 - June (1987 vol. 9)
Rafael C. Gonzalez , Department of Electrical and Computer Engineering, University of Tennessee, Knoxville, TN 37996; Perceptics Corporation, Pellisippi Center, Knoxville, TN 37932.
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.
Rafael C. Gonzalez, Arnulfo Perez, "An Iterative Thresholding Algorithm for Image Segmentation", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 9, no. , pp. 742-751, June 1987, doi:10.1109/TPAMI.1987.4767981