adaptiveThreshold: Adaptive Thresholding
In neuroconductor-releases/Rvision: Basic Computer Vision Library

adaptiveThreshold transforms a grayscale image to a binary image using an adaptive threshold.

1 2	adaptiveThreshold(image, max_value = 255, method = "mean", threshold_type = "inverse", block_size = 31, C = 25)

`image`	An an 8-bit (8U) single-channel `Image` object.
`max_value`	Non-zero numerical value assigned to the pixels above the adaptive threshold (default: 255).
`method`	The name of the adaptive thresholding algorithm to use. It can be either 'mean' - mean of the block_size * block_size neighborhood - or 'gaussian' - Gaussian weighted sum of the block_size * block_size neighborhood (default: 'mean').
`threshold_type`	The name of the threshold type to use. It can be either 'binary' or 'inverse' (default: 'inverse').
`block_size`	Size of a pixel neighborhood that is used to calculate a threshold value for the pixel (default: 31).
`C`	Constant subtracted from the mean or weighted mean. Normally, it is positive but may be zero or negative as well (default: 25).