Threshold image

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

Input ports:

source:

image

source image to filter

Output ports:

result:

image

result after filtering

Configuration:

algorithm

(no description)

threshold method

(no description)

auto threshold method

(no description)

offset

(no description)

threshold

(no description)

kernel size

(no description)

sigma

(no description)

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