备注
转到末尾 以下载完整示例代码。或在 Binder 上通过浏览器运行此示例。
绘制区域邻接图 (RAGs)#
此示例构建了一个区域邻接图 (RAG),并使用 rag_draw 方法绘制它。
from skimage import data, segmentation
from skimage import graph
from matplotlib import pyplot as plt
img = data.coffee()
labels = segmentation.slic(img, compactness=30, n_segments=400, start_label=1)
g = graph.rag_mean_color(img, labels)
fig, ax = plt.subplots(nrows=2, sharex=True, sharey=True, figsize=(6, 8))
ax[0].set_title('RAG drawn with default settings')
lc = graph.show_rag(labels, g, img, ax=ax[0])
# specify the fraction of the plot area that will be used to draw the colorbar
fig.colorbar(lc, fraction=0.03, ax=ax[0])
ax[1].set_title('RAG drawn with grayscale image and viridis colormap')
lc = graph.show_rag(labels, g, img, img_cmap='gray', edge_cmap='viridis', ax=ax[1])
fig.colorbar(lc, fraction=0.03, ax=ax[1])
for a in ax:
a.axis('off')
plt.tight_layout()
plt.show()
脚本总运行时间: (0 分钟 0.914 秒)