An adaptive method for image thresholding

Vladimir A. Shapiro, P.K. Veleva, Vasil Sgurev · 2003

Thresholding is a traditional tool for image regions classification based on their grey-level properties, especially when there are two kinds of homogeneous regions of intensity say, object and background. A new global thresholding scheme is described in this paper. Unlike the previously developed methods the approach proposed is independent of the object/background areas ratio, intensity transition slope and object/background shape; it is also resistant to noise.>

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