Image thresholding enjoys a central position in application of image segmentation for its
intuitive properties and simplicity of implementation. Global thresholding, optimum global
thresholding with Otsu’s method, image smoothing, image edges, variable thresholding based on
local statistics and thresholding with moving averages are commonly used for image
thresholding process