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import ants image = ants.image_read( ants.get_ants_data('ch2') ) mask = ants.get_mask(image) segs1 = ants.kmeans_segmentation( image, 3 ) stats = ants.label_stats(image, segs1['segmentation']) ants.plot( image, ants.mask_image( segs1['segmentation'], segs1['segmentation'], [2,3] ) ) imageol = image * ants.threshold_image( image, 66 , 100 ) ants.plot( image, imageol, overlay_cmap='twilight_shifted', cbar=True ) oll = [ ants.mask_image( segs1['segmentation'], segs1['segmentation'], [1,3] ) , ants.mask_image( segs1['segmentation'], segs1['segmentation'], [2,3] ) , ants.mask_image( segs1['segmentation'], segs1['segmentation'], [3] ) ] ants.plot_ortho_stack([image,image,image], overlays=oll) mni = ants.image_read(ants.get_data('mni')) ants.plot_ortho_double(mni, image , imageol, imageol )