归一化割

此示例构建了一个区域邻接图（RAG），并递归地对其执行归一化切割 [1]。

参考文献

[1]

Shi, J.; Malik, J., “归一化切割与图像分割”, 模式分析与机器智能, IEEE 交易, 卷. 22, 编号. 8, 页. 888-905, 2000年8月。

from skimage import data, segmentation, color
from skimage import graph
from matplotlib import pyplot as plt


img = data.coffee()

labels1 = segmentation.slic(img, compactness=30, n_segments=400, start_label=1)
out1 = color.label2rgb(labels1, img, kind='avg', bg_label=0)

g = graph.rag_mean_color(img, labels1, mode='similarity')
labels2 = graph.cut_normalized(labels1, g)
out2 = color.label2rgb(labels2, img, kind='avg', bg_label=0)

fig, ax = plt.subplots(nrows=2, sharex=True, sharey=True, figsize=(6, 8))

ax[0].imshow(out1)
ax[1].imshow(out2)

for a in ax:
    a.axis('off')

plt.tight_layout()