运维开发网

Python库skimage绘制二值图像代码实例

运维开发网 https://www.qedev.com 2020-06-14 18:32 出处:网络 作者: 我坚信阳光灿烂
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。

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

Python库skimage绘制二值图像代码实例

Python库skimage绘制二值图像代码实例

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我们。

0

精彩评论

暂无评论...
验证码 换一张
取 消