skimage2.filters.threshold_mean#

skimage2.filters.threshold_mean(image)[source]#

Return threshold value based on the mean of grayscale values.

Parameters:

image(M, N[, …]) ndarray: Grayscale input image.

Returns:

thresholdfloat: Upper threshold value. All pixels with an intensity higher than this value are assumed to be foreground.

References

[1]

C. A. Glasbey, “An analysis of histogram-based thresholding algorithms,” CVGIP: Graphical Models and Image Processing, vol. 55, pp. 532-537, 1993. DOI:10.1006/cgip.1993.1040

Examples

>>> from _skimage2.data import camera
>>> image = camera()
>>> thresh = threshold_mean(image)
>>> binary = image > thresh