An Iterative Thresholding Algorithm for Image Segmentation
Arnulfo Perez, Rafael C. González · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1987
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.