binarisation

dilate(binary_image[, kshape, ksize, iterations]) Dilate an image
open(binary_image[, kshape, ksize, iterations]) Open an image
close(binary_image[, kshape, ksize, iterations]) Close an image
erode_dilate(binary_image[, kernel_shape, …]) Applied a morphology (erode & dilate) on binary_image on mask ROI.
threshold_hsv(image, hsv_min, hsv_max[, mask]) Binarize HSV image with hsv_min and hsv_max parameters.
threshold_meanshift(image, mean_image[, …]) Threshold pixels in numpy array such as:
mean_shift_hsv(image, mean_img[, threshold, …]) Segmentation using mean shift method
mean_image(images) Compute the mean of a image list.
color_tree(bgr[, cabin, mask_pot, …]) Segmentation using decision tree and mask
decision_tree_threshold_phenoarch_1(bgr) Implementation of a decision tree
decision_tree_threshold_phenoarch_2(bgr) Implementation of a decision tree