Threshold image

Some of the docstrings for this module have been extracted from the scikit-image library and are covered by their respective licenses.

class node_threshold.ThresholdImage

Applies a threshold to an image giving a boolean output

Algorithms:

• adaptive

  Applies an adaptive threshold to an array.

  Also known as local or dynamic thresholding where the threshold value is the weighted mean for the local neighborhood of a pixel subtracted by a constant.

  threshold method:

  Method used for calculating adaptive threshold

  kernel size:

  Size of blocks used during threshold check.

  Must be an odd number. (default 3)

  offset:

  Constant subtracted from weighted mean of neighborhood to calculate the local threshold value. (default 0.0)

  sigma:

  Standard deviation of gaussian kernel when method gaussian is used.

• automatic

  Performs global thresholding based a selection of automatic algorithms with none or few parameters

  auto threshold method:

  Method used for calculating threshold

• basic

  Compares each channel with a threshold

  threshold:

  Threshold value to compare with

Inputs:

source : image

source image to filter

Outputs:

result : image

result after filtering