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CV BIN ScikitImage
#331
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junxnone
opened
4 years ago
junxnone
commented
4 years ago
scikit-image 二值化
Reference
thresholding.py - scikit-image
skimage.filters.thresholdxxxx
Brief
Functions
Description
skimage.filters.threshold_isodata([image, …])
Return threshold value(s) based on ISODATA method.
skimage.filters.threshold_li(image, *[, …])
Compute threshold value by Li’s iterative Minimum Cross Entropy method.
skimage.filters.threshold_local(image, …)
Compute a threshold mask image based on local pixel neighborhood.
skimage.filters.threshold_mean(image)
Return threshold value based on the mean of grayscale values.
skimage.filters.threshold_minimum([image, …])
Return threshold value based on minimum method.
skimage.filters.threshold_multiotsu(image[, …])
Generate classes-1 threshold values to divide gray levels in image.
skimage.filters.threshold_niblack(image[, …])
Applies Niblack local threshold to an array.
skimage.filters.threshold_otsu([image, …])
Return threshold value based on Otsu’s method.
skimage.filters.threshold_sauvola(image[, …])
Applies Sauvola local threshold to an array.
skimage.filters.threshold_triangle(image[, …])
Return threshold value based on the triangle algorithm.
skimage.filters.threshold_yen([image, …])
Return threshold value based on Yen’s method.
skimage.filters.try_all_threshold(image[, …])
Returns a figure comparing the outputs of different thresholding methods.
junxnone
commented
4 years ago
junxnone/examples#159
scikit-image 二值化
Reference
Brief