大家好，又见面了，我是你们的朋友全栈君。如果您正在找激活码,请点击查看最新教程,关注关注公众号 “全栈程序员社区” 获取激活教程,可能之前旧版本教程已经失效.最新Idea2022.1教程亲测有效,一键激活。
Jetbrains全系列IDE使用 1年只要46元 售后保障 童叟无欺
Matlab infl()依次使用函数IM=imreconstruct(marker，mask)
有关算法的详细信息，请参见
Soille，P.，《形态图像分析：原理和应用》，Springer Verlag，1999年，第208-209页。第6.3.7节“填充孔”部分import numpy as np
from skimage.morphology import reconstruction
import matplotlib.pyplot as plt
from skimage.io import imread, imsave
# Use the matlab reference Soille, P., Morphological Image Analysis: Principles and Applications, Springer-Verlag, 1999, pp. 208-209.
# 6.3.7 Fillhole
# The holes of a binary image correspond to the set of its regional minima which
# are not connected to the image border. This definition holds for grey scale
# images. Hence, filling the holes of a grey scale image comes down to remove
# all minima which are not connected to the image border, or, equivalently,
# impose the set of minima which are connected to the image border. The
# marker image 1m used in the morphological reconstruction by erosion is set
# to the maximum image value except along its border where the values of the
# original image are kept:
img = imread(“tyre.jpg”)
seed = np.ones_like(img)*255
img[ : ,0] = 0
img[ : ,-1] = 0
img[ 0 ,:] = 0
img[ -1 ,:] = 0
seed[ : ,0] = 0
seed[ : ,-1] = 0
seed[ 0 ,:] = 0
seed[ -1 ,:] = 0
fill = reconstruction(seed, img, method=’erosion’)
f, (ax0, ax1) = plt.subplots(1, 2,
subplot_kw={‘xticks’: [], ‘yticks’: []},
figsize=(12, 8))
ax0.imshow(img)
ax1.imshow(fill)
plt.show()
发布者：全栈程序员-用户IM，转载请注明出处：https://javaforall.cn/194225.html原文链接：https://javaforall.cn
【正版授权，激活自己账号】： Jetbrains全家桶Ide使用，1年售后保障，每天仅需1毛
【官方授权 正版激活】： 官方授权 正版激活 支持Jetbrains家族下所有IDE 使用个人JB账号...
