Title :
An Iterative Thresholding Algorithm for Image Segmentation
Author :
Pérez, Arnulfo ; Gonzalez, Rafael C.
Author_Institution :
Department of Electrical and Computer Engineering, University of Tennessee, Knoxville, TN 37996.
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.
Keywords :
Aerospace engineering; Automation; Histograms; Image analysis; Image segmentation; Interpolation; Iterative algorithms; Lighting; Probability; Testing; Adaptive; Taylor series; computer vision; machine vision; real-time; segmentation; thresholding; vision;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1987.4767981
