这里就分别基于OpenCV扩展模块与skimage包来完成骨架提取,得到上述图示的中心线。...01 安装skimage与opencv扩展包 Python环境下安装skimage图像处理包与opencv计算机视觉包,只需要分别执行下面两行命令: pip install opencv-contrib-python...pip install skimage 导入使用 from skimage import morphology import cv2 as cv 02 使用skimage实现骨架提取 有两个相关的函数实现二值图像的骨架提取...cv.threshold(gray, 0, 255, cv.THRESH_BINARY | cv.THRESH_OTSU) binary[binary == 255] = 1 skeleton0 = morphology.skeletonize...gray, 0, 255, cv.THRESH_BINARY | cv.THRESH_OTSU) binary[binary == 255] = 1 skel, distance = morphology.medial_axis
安装库嘛,一般是在cmd上用下面这个命令嘛:conda install skimage 但是这个命令它报错嘛:?这个意思就是目前找不到这个库嘛。...但事实上是有这个库的,它还有一个主页:skimage库的主页。
skimage 与 png png 图像 有 png-8,png-24, png-32 之分,后面的数字代表一个 颜色用几位来存储,png-24就是我们常见的 RGB 图像啦。...使用 skimage.io 中 imread(file_name) 来读取 png-8 是不明智的,因为 png-8 能被读出来 3-channel。...img_obj = Image.open(file_path) img_arr = np.array(img_obj).astype(np.unit8) skimage.transform.resize
异常:ModuleNotFoundError: No module named 'skimage' 异常环境 报错系统环境:win11 报错python版本:python 3.9x 异常可能...可能的异常2:直接重新安装【pip3 install scikit-image】 这回【import skimage】就行,能用了。...skimage的简介 skimage即是Scikit-Image。基于python脚本语言开发的数字图片处理包,比如PIL,Pillow, opencv, scikit-image等。...skimage包的全称是scikit-image SciKit (toolkit for SciPy) ,它对scipy.ndimage进行了扩展,提供了更多的图片处理功能。...skimage包由许多的子模块组成,各个子模块提供不同的功能。 通过skimage的简介我们能直接的了解skimage库的作用。
from skimage import morphology,draw import cv2 import numpy as np import matplotlib.pyplot as plt image...rows): for j in range(cols): if (rst[i,j]==255): rst[i,j]=1 #骨架算法 skeleton1=morphology.skeletonize...(image) skeleton2=morphology.skeletonize(rst) fig,(ax1,ax2,ax3,ax4)=plt.subplots(nrows=1,ncols=4,figsize
from skimage import data,color import matplotlib.pyplot as plt from skimage.morphology import disk import...skimage.filters.rank as sfr img =cv2.imread('C:/Users/xpp/Desktop/Lena.png')#读取图像 cv2.imshow('original
import cv2 from skimage import data,color import matplotlib.pyplot as plt from skimage.morphology import...disk import skimage.filters.rank as sfr img=cv2.imread('C:/Users/xpp/Desktop/Lena.png')#读取图像 grayImage
来源:Opencv学堂 问题或建议,请公众号留言; 如果你觉得文章对你有帮助,欢迎转发支持 scikit-image概述与安装 skimage是纯python语言实现的BSD许可开源图像处理算法库,主要的优势在于...官方主页 https://scikit-image.org/ 安装 pip install scikit-image 代码教程 导入支持的模块 from skimage import data, io,...filters, feature, segmentation from skimage import color, exposure, measure, morphology, draw from matplotlib...import pyplot as plt from skimage import transform as tf 从data中获取测试图像与数据并显示 image = data.chelsea() io.imshow...data.horse() gray = color.rgb2gray(image) ret = filters.threshold_otsu(gray) binary = gray < ret skele = morphology.skeletonize
问题或建议,请公众号留言; 如果你觉得文章对你有帮助,欢迎转发支持 scikit-image概述与安装 skimage是纯python语言实现的BSD许可开源图像处理算法库,主要的优势在于: 提供一套高质量易用性强的图像算法库...官方主页 https://scikit-image.org/ 安装 pip install scikit-image 代码教程 导入支持的模块 from skimage import data, io,...filters, feature, segmentation from skimage import color, exposure, measure, morphology, draw from matplotlib...import pyplot as plt from skimage import transform as tf 从data中获取测试图像与数据并显示 image = data.chelsea() io.imshow...data.horse() gray = color.rgb2gray(image) ret = filters.threshold_otsu(gray) binary = gray < ret skele = morphology.skeletonize
import cv2 from skimage import data,color import matplotlib.pyplot as plt from skimage.morphology import...disk import skimage.filters.rank as sfr img=cv2.imread('C:/Users/xpp/Desktop/Lena.png')#读取图像 cv2.imshow
from skimage import exposure def local_contrast(img_gray: np.ndarray) -> np.ndarray: #...import numpy as np from skimage.transform import rotate from skimage.filters import sobel from...skimage.feature import canny from skimage.transform import hough_line, hough_line_peaks def deskew...import numpy as np from skimage.morphology import white_tophat, disk def remove_background(...from skimage.morphology import remove_small_objects, remove_small_holes, closing, square from skimage.measure
问题描述: 安装环境的时候遇到错误:ERROR: No matching distribution found for skimage (之前遇到过很对次这个Error,但是一直忘记) 解决方案: 当运行代码的时候...,提示 skimage 的时候: 错误安装:pip install skimage 正确安装:pip install scikit-image 【 如果上述安装命令在清华镜像源的情况下安装报错: ERROR...: Could not find a version that satisfies the requirement skimage ERROR: No matching distribution found...for skimage
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
Background: For the filled-in types of examination number or answers, traditiona...
一.执行代码 yum install xz-devel yum install python-backports-lzma pip3 install sci...
filters 图像增强、边缘检测、排序滤波器、自动阈值等 draw 操作于numpy数组上的基本图形绘制,包括线条、矩形、圆和文本等 transform 几何变换或其它变换,如旋转、拉伸和拉东变换等 morphology...segmentation 图像分割 restoration 图像恢复 util 通用函数 转换代码 #-*- coding: utf-8 -*- import scipy.io as sio import skimage.io...inputgeotiff_path=r"D:\gt00cls00.tif" #geotiff outputgeotiff_path=r"D:\gt00cls00.mat" #tiff #图像读取 imggt=skimage.io.imread
1.给图像加入噪声skimage.util.random_noise(image, mode=‘gaussian’, seed=None, clip=True, **kwargs)该函数可以方便的为图像添加各种类型的噪声如高斯白噪声...Skimage读取图像后格式为(height, width, channel)。注意RGB图像数据若为浮点数则范围为[0,1],若为整型则范围为[0,255]。...如果gamma>1, 新图像比原图像暗如果gammaskimage.exposure.adjust_gamma(image, gamma=1)gamma参数默认为1,原像不发生变化