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An Iterative Thresholding Algorithm for Image Segmentation

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2 Author(s)
Perez, Arnulfo ; Department of Electrical and Computer Engineering, University of Tennessee, Knoxville, TN 37996. ; Gonzalez, Rafael C.

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.

Published in:
Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:PAMI-9 ,  Issue: 6 )

Date of Publication: Nov. 1987

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