threshold_li
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skimage.filters.threshold_li(image)
[source] -
Return threshold value based on adaptation of Li’s Minimum Cross Entropy method.
Parameters: image : array
Input image.
Returns: threshold : float
Upper threshold value. All pixels intensities more than this value are assumed to be foreground.
References
[R202] Li C.H. and Lee C.K. (1993) “Minimum Cross Entropy Thresholding” Pattern Recognition, 26(4): 617-625 [R203] Li C.H. and Tam P.K.S. (1998) “An Iterative Algorithm for Minimum Cross Entropy Thresholding” Pattern Recognition Letters, 18(8): 771-776 [R204] Sezgin M. and Sankur B. (2004) “Survey over Image Thresholding Techniques and Quantitative Performance Evaluation” Journal of Electronic Imaging, 13(1): 146-165 http://citeseer.ist.psu.edu/sezgin04survey.html [R205] ImageJ AutoThresholder code, http://fiji.sc/wiki/index.php/Auto_Threshold Examples
>>> from skimage.data import camera >>> image = camera() >>> thresh = threshold_li(image) >>> binary = image > thresh
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