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

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

Arguments

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).

Value

An Image object.

See also

Author

Simon Garnier, garnier@njit.edu

Examples

# TODO