ImageTools
Threshold
perform threshold operation on a grayscale image
Calling Sequence
Parameters
Options
Description
Examples
References
Threshold( img, thr, opts )
img
-
Image; input image
thr
(optional) realcons; value of the threshold
opts
(optional) equation(s) of the form option = value; specify options for the Threshold command
low = float
Specifies the value that all pixels that fall below the threshold are set to. The default value is 0.0.
high = float
Specifies the value that all pixels that fall above the threshold are set to. The default value is 1.0.
method = above, below, or both
Specifies how the threshold operation is performed. Specifying method = above causes all the pixels that fall above the threshold to be set to the value specified by the high option, and the pixels that fall below the threshold retain their value. Specifying method = below causes all the pixels that fall below the threshold to be set to the value specified by the low option, and the pixels that fall above the threshold retain their value. Specifying method = both, which is the default value, causes all the pixels that fall below the threshold to be set to the value specified by the low option, and all the pixels that fall above the threshold to be set to the value specified by the high option.
The Threshold command performs a threshold operation on a grayscale image.
The img parameter is the input image. It must be of type GrayImage.
The optional thr parameter specifies the threshold. If not specified, a threshold is computed using Otsu's method.
The effect of the threshold operation can be specified by the method option, by specifying whether to threshold pixels above the threshold, below the threshold, or both.
The options high and low specify the new intensity values.
with⁡ImageTools:
img≔Matrix⁡200,200,y,x↦0.4⋅sin⁡0.05⋅x+0.5⋅0.4⋅sin⁡0.1⋅y+0.5+x1000,datatype=float8
Embed⁡img
img2_b≔Threshold⁡img,method=below
img2_a≔Threshold⁡img,method=above
img2≔Threshold⁡img,method=both
Embed⁡img2_b,img2_a,img2
Otsu, N. "A threshold selection method from gray level histograms." IEEE Trans. Systems, Man and Cybernetics, Vol. 9. (1979).
See Also
GrayImage
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