Bi-level image thresholding

António Anjos, Hamid Shahbazkia

Abstract:

Images with two dominant intensity levels are easily manually thresholded. For automatic image thresholding,
most of the effective techniques are either too complex or too eager of computer resources. In this paper we
present an iterative method for image thresholding that is simple, fast, effective and that requires minimal
computer processing power. Images of micro and macroarray of genes have characteristics that allow the use
of the presented method for thresholding.