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)| image | An an 8-bit (8U) single-channel  | 
|---|---|
| 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). | 
An Image object.
Simon Garnier, garnier@njit.edu
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