contour

matlab数学实验--第二章

由 爷，独闯天下 提交于 2021-02-20 02:39:05
控制流： 分支语句： if ( 条件式 ) ， 语句； end if ( 条件式 1) ，语句 1 ； elseif ( 条件式 2) ，语句 2 ；……； else ，语句； end iwitch( 分支变量 ) case( 值 1) ，语句 1 ； case( 值 2) ，语句 2 ；……； otherwise 语句； end 循环语句： for 循环变量 = 初值 : 增量 : 终值 , 语句 ;end while ( 条件式 ) ，语句； end 其他： pause, break: 当循环执行到该语句是，程序将跳出循环 return,error x = input('输入x的值：'); if x<10 y = cos(x+1); else y = x*sqrt(x); end y = 0,m=100; for n = 1:m y = y + 1/n/n % y加n的平方之一 end y clear; t = 0,n = 1,m = 100; while (n<=m) t = t+1/n/n n = n+1 end M 文件的分类： 分类： 脚本文件 (script file) 和函数文件 (function file) 主要区别： 1. M 脚本文件没有参数传递功能；函数文件有参数传递功能 2. M 脚本文件中的变量是全局的，在命令窗口也可用；函数文件中的变量是局部

Create mask from skimage contour

由 ぃ、小莉子 提交于 2021-02-18 14:56:52
问题 I have an image that I found contours on with skimage.measure.find_contours() but now I want to create a mask for the pixels fully outside the largest closed contour. Any idea how to do this? Modifying the example in the documentation: import numpy as np import matplotlib.pyplot as plt from skimage import measure # Construct some test data x, y = np.ogrid[-np.pi:np.pi:100j, -np.pi:np.pi:100j] r = np.sin(np.exp((np.sin(x)**2 + np.cos(y)**2))) # Find contours at a constant value of 0.8 contours

Create mask from skimage contour

由 被刻印的时光 ゝ 提交于 2021-02-18 14:56:44
问题 I have an image that I found contours on with skimage.measure.find_contours() but now I want to create a mask for the pixels fully outside the largest closed contour. Any idea how to do this? Modifying the example in the documentation: import numpy as np import matplotlib.pyplot as plt from skimage import measure # Construct some test data x, y = np.ogrid[-np.pi:np.pi:100j, -np.pi:np.pi:100j] r = np.sin(np.exp((np.sin(x)**2 + np.cos(y)**2))) # Find contours at a constant value of 0.8 contours

Create mask from skimage contour

由 有些话、适合烂在心里 提交于 2021-02-18 14:54:48
问题 I have an image that I found contours on with skimage.measure.find_contours() but now I want to create a mask for the pixels fully outside the largest closed contour. Any idea how to do this? Modifying the example in the documentation: import numpy as np import matplotlib.pyplot as plt from skimage import measure # Construct some test data x, y = np.ogrid[-np.pi:np.pi:100j, -np.pi:np.pi:100j] r = np.sin(np.exp((np.sin(x)**2 + np.cos(y)**2))) # Find contours at a constant value of 0.8 contours

Create mask from skimage contour

由 被刻印的时光 ゝ 提交于 2021-02-18 14:54:47
问题 I have an image that I found contours on with skimage.measure.find_contours() but now I want to create a mask for the pixels fully outside the largest closed contour. Any idea how to do this? Modifying the example in the documentation: import numpy as np import matplotlib.pyplot as plt from skimage import measure # Construct some test data x, y = np.ogrid[-np.pi:np.pi:100j, -np.pi:np.pi:100j] r = np.sin(np.exp((np.sin(x)**2 + np.cos(y)**2))) # Find contours at a constant value of 0.8 contours

How to use Opencv contours to describe line points in a unidirectional way

由 ▼魔方 西西 提交于 2021-02-18 06:40:22
问题 I am using opencvs findContour to find the points to describe an image made up of lines (not polygons) as such: cv::findContours(src, contours, hierarchy, cv::RETR_EXTERNAL, cv::CHAIN_APPROX_SIMPLE); . 回答1: If I understand correctly, the "cv2.connectedComponents" method gives what you are looking for. It assigns a label for each point in your image, the label is the same if points are connected. By doing this assignment there is no duplication happening. So, if your lines are one pixel wide

Plotly contour subplots each having their own colorbar

由 隐身守侯 提交于 2021-02-16 15:21:31
问题 I am trying to generate contours using Plotly. There are 5 contours which I am plotting in a 5x1 grid using subplots. I am unable to see an option by which I can have a separate colorbar for each contour subplot. For line plots I can use shared_xaxes or shared_yaxes options, but unable to find documentation where I can have a separate colorbar for each subplot in this 5x1 grid. Here are some reference links I tried to go through: https://plot.ly/python/contour-plots/ https://plot.ly/python

How to split a snowman shaped contour into two circles

由 一笑奈何 提交于 2021-02-11 17:11:08
问题 Problem I am processing an iPhone screen recording of a game automatic replay called Chinese Chess (I press the play button once, it automatically goes through all the moves). The screen recording is in 30FPS, and conveniently, every second (30 frames), a new move is made. For example, the 120th frame looks like this: 30 frames (1 second) later, the 150th frame looks like this: I want to detect each move played by comparing the previous frame to the current frame. My code works if the piece

How to split a snowman shaped contour into two circles

由 自古美人都是妖i 提交于 2021-02-11 17:04:14
问题 Problem I am processing an iPhone screen recording of a game automatic replay called Chinese Chess (I press the play button once, it automatically goes through all the moves). The screen recording is in 30FPS, and conveniently, every second (30 frames), a new move is made. For example, the 120th frame looks like this: 30 frames (1 second) later, the 150th frame looks like this: I want to detect each move played by comparing the previous frame to the current frame. My code works if the piece

Find contours based on edges

由 ⅰ亾dé卋堺 提交于 2021-02-11 14:13:07
问题 I want to detect the contours of an equipment label. Although the code runs correctly, it never quite detects the contours of the label. Original Image Using this code: import numpy as np import cv2 import imutils #resizeimage import pytesseract # convert img to string pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe" # Read the image file image = cv2.imread('Car Images/5.JPG') # Resize the image - change width to 500 image = imutils.resize(image, width
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