title: An iterative thresholding algorithm for image segmentation.
abstract: 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.
authors.affiliation: Department of Electrical and Computer Engineering, University of Tennessee, Knoxville, TN 37996.
authors.forename: A
authors.initials: A
authors.lastname: Perez
authors.forename: R C
authors.initials: RC
authors.lastname: Gonzalez