Python库skimage绘制二值图像代码实例
作者：我坚信阳光灿烂
这篇文章主要介绍了Python库skimage绘制二值图像代码实例,文中通过示例代码介绍的非常详细，对大家的学习或者工作具有一定的参考学习价值,需要的朋友可以参考下
二值图像的凸壳指的是包围输入二值图像白色区域的最小的凸多边形的像素集合。
skimage中的函数
from skimage.morphology import convex_hull_image
chull = convex_hull_image(image)
完整代码：
"""
===========
Convex Hull
===========
The convex hull of a binary image is the set of pixels included in the
smallest convex polygon that surround all white pixels in the input.
A good overview of the algorithm is given on `Steve Eddin's blog
<http://blogs.mathworks.com/steve/2011/10/04/binary-image-convex-hull-algorithm-notes/>`__.
"""
import matplotlib.pyplot as plt
from skimage.morphology import convex_hull_image
from skimage import data, img_as_float
from skimage.util import invert
# The original image is inverted as the object must be white.
image = invert(data.horse())
chull = convex_hull_image(image)
fig, axes = plt.subplots(1, 2, figsize=(8, 4))
ax = axes.ravel()
ax[0].set_title('Original picture')
ax[0].imshow(image, cmap=plt.cm.gray)
ax[0].set_axis_off()
ax[1].set_title('Transformed picture')
ax[1].imshow(chull, cmap=plt.cm.gray)
ax[1].set_axis_off()
plt.tight_layout()
plt.show()
######################################################################
# We prepare a second plot to show the difference.
#
chull_diff = img_as_float(chull.copy())
chull_diff[image] = 2
fig, ax = plt.subplots()
ax.imshow(chull_diff, cmap=plt.cm.gray)
ax.set_title('Difference')
plt.show()
实验输出
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持脚本之家。