API Change: image_label2rgb changed to label2rgb.

The name change reflects a switch in the argument order (and makes the image an optional argument).

doc/examples/applications/plot_coins_segmentation.py

@@ -160,11 +160,11 @@ individually.
 
 """
 
-from skimage.color import image_label2rgb
+from skimage.color import label2rgb
 
 segmentation = ndimage.binary_fill_holes(segmentation - 1)
 labeled_coins, _ = ndimage.label(segmentation)
-image_label_overlay = image_label2rgb(coins, labeled_coins)
+image_label_overlay = label2rgb(labeled_coins, image=coins)
 
 plt.figure(figsize=(6, 3))
 plt.subplot(121)

doc/examples/plot_join_segmentations.py

@@ -17,7 +17,7 @@ import matplotlib.pyplot as plt
 from skimage.filter import sobel
 from skimage.segmentation import slic, join_segmentations
 from skimage.morphology import watershed
-from skimage.color import image_label2rgb
+from skimage.color import label2rgb
 from skimage import data
 
 
@@ -48,15 +48,15 @@ fig, axes = plt.subplots(ncols=4, figsize=(9, 2.5))
 axes[0].imshow(coins, cmap=plt.cm.gray, interpolation='nearest')
 axes[0].set_title('Image')
 
-color1 = image_label2rgb(coins, seg1, bg_label=0)
+color1 = label2rgb(seg1, image=coins, bg_label=0)
 axes[1].imshow(color1, interpolation='nearest')
 axes[1].set_title('Sobel+Watershed')
 
-color2 = image_label2rgb(coins, seg2, image_alpha=0.5)
+color2 = label2rgb(seg2, image=coins, image_alpha=0.5)
 axes[2].imshow(color2, interpolation='nearest')
 axes[2].set_title('SLIC superpixels')
 
-color3 = image_label2rgb(coins, segj, image_alpha=0.5)
+color3 = label2rgb(segj, image=coins, image_alpha=0.5)
 axes[3].imshow(color3, interpolation='nearest')
 axes[3].set_title('Join')
 

doc/examples/plot_label.py

@@ -21,7 +21,7 @@ from skimage.filter import threshold_otsu
 from skimage.segmentation import clear_border
 from skimage.morphology import label, closing, square
 from skimage.measure import regionprops
-from skimage.color import image_label2rgb
+from skimage.color import label2rgb
 
 
 image = data.coins()[50:-50, 50:-50]
@@ -38,7 +38,7 @@ clear_border(cleared)
 label_image = label(cleared)
 borders = np.logical_xor(bw, cleared)
 label_image[borders] = -1
-image_label_overlay = image_label2rgb(image, label_image)
+image_label_overlay = label2rgb(label_image, image=image)
 
 fig, ax = plt.subplots(ncols=1, nrows=1, figsize=(6, 6))
 ax.imshow(image_label_overlay)