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