Opencv mask from contour. findContours() function. Then add the mask to the original image. BLACK_THRESHOLD = 200. this is how the image should look like: Step 4: File all the center points and draw them on the image. --dirsfirst . png") gray_image = cv2. import matplotlib. Parameters Feb 25, 2016 · Draw contour with FILLED option for each contour; use each image as a mask over the original image, thus find the average. height); Oct 3, 2013 · The function will work only with pixels that are not zero in the mask. Improve this question. 0; At the top level, there are external boundaries of the components. 2, findContours () no longer modifies the source image. So basically the answers will be interchanged. 1] range and the template pixels will be multiplied by the corresponding mask pixel values. # Import required packages: import cv2. int32) cv2. imread(path) orig = image. I want to use to inside contour areas. fillConvexPoly Then, I use this code to get contours: cnt = cv2. only rectangular areas can be copied. # load the image, convert it to grayscale, and blur it slightly. - Merge the eroded mask with the previous result. findContours () and pass the threshold image and necessary parameters. drawContours(mask, c, -1, 255, -1) mask can then be used as a parameter to cv. mask = 255-mask; std::vector<cv::Point> outsidePoints; cv::findNonZero(mask, outsidePoints); add a comment. In the above image, you can see that our Mask R-CNN has not only localized each of the cars in the image but has also constructed a pixel-wise mask as well, allowing us to segment each car from the image. But the code 5 days ago · The mask should have a CV_8U or CV_32F depth and the same number of channels as the template image. I would like to get the area around the contour as an image without the background. import cv2 as cv. - Convert to grayscale. boundingRect(contours[i]) You can then use NumPy indexing to get your ROI from the image: Jan 8, 2013 · Mask operations on matrices are quite simple. Finally contours 4,5 are the children of contour-3a, and they come in the last hierarchy level. Jan 8, 2013 · Prev Tutorial: Finding contours in your image. After this I tried findContours: Jun 16, 2017 · 75. append(image[y:y+h, x:x+w]) Output: # Display the cropped images. Study OpenCV implementation of drawContour function with the FILLED option and access the pixels enclosed by the contour in the same manner. Dependent on how you do that (black image, white contours vs. js 3. Convert the image to grayscale. The python and C++ codes used in this post are specifically for OpenCV 3. cvtColor(mask, cv. Learn to find different properties of contours like Solidity, Mean Intensity etc. threshold() to get a binary image. Thank You very much for the quick response. ├── opencv_contour_approx. findContours () returns contours. Open up a new file, name it extreme_points. In that other process the value are only [0, 1]. RETR_TREE - retrieves all of the contours and reconstructs a full hierarchy of nested contours; Contour Tree Structure Sep 18, 2019 · mask = np. imshow ('mask10', mask10) and it should have the same shape as crop. In this case I was May 6, 2016 · Try an upgrade to OpenCV 3. You will learn plenty of functions related to contours. 2, but I think there is a problem with the mask. 0011617112159729003. To determine if a point is inside, outside, or on the edge of a shape you can check if the point is within a contour using cv2. berak. I'm using No. Currently using opencv. At a high level, here is the 5-step process for contour detection in OpenCV: Read a color image. contours is a Python list of all the contours in the image. From a mathematical point of view we make a weighted Mar 24, 2021 · The code below works as the example shows for grabcut. 3 days ago · Learn to find different features of contours like area, perimeter, bounding rectangle etc. 9 KB. . Nov 19, 2018 · Figure 7: A Mask R-CNN applied to a scene of cars. Explore how to crop images using contours in OpenCV, providing a step-by-step guide with examples. It is calculated based on the hu-moment values. Goal . Is there a way to achieve separate contours for each mask based on color? Dec 9, 2012 · 23. py file in your project folder, and let’s get to work: # import the necessary packages. Mar 27, 2014 · Input: face image Problem: thresholded image before applying Canny to find contours but does not return face mask Desired output if different face is input,it should generate a proper face mask( Nov 29, 2017 · What you probably want to do instead of drawing the filled contour into srcMat, is to draw it on a mask matrix, then apply the mask matrix to srcMat to 'zero' all the cells outside the contour area. e. zeros((9373, 12273), dtype=np. Now for finding out the center points we will be using the moments () method. mask = (Original == 0); This also works for > or < symbols, so, if you have. THRESH_BINARY_INV) contours, hierarchy = cv2. Contours : More Functions. isContourConvex () function is a built-in function in the OpenCV library that can be used to check if a contour is convex or not. drawContours(mask_image, contours, ind, Scalar(255), CV_FILLED); // copy only non-zero pixels Jan 4, 2023 · OpenCV has findContour() function that helps in extracting the contours from the image. After some code adaptations for the new version as shown below, I tried it out with OpenCV version 3. drawContours(maskImage, Contours, -1, (255, 255, 255), -1) newImage = cv2. image = cv2. It returns a Boolean value, which is True if the contour is convex and Apr 11, 2016 · Where our goal is to compute the extreme points along the contour of the hand in the image. black and white only) using Otsu’s method or a fixed threshold that you choose. COLOR_BGR2GRAY) # Find the largest contour contours, hierarchy = cv2. imread('result. Create an empty mask and draw the detected contours on it. int baseLine; Size labelSize = getTextSize(label, FONT_HERSHEY_SIMPLEX, 0. So let it be in hierarchy-1. Apr 5, 2020 · Below is the type of pictures I try to create mask for: I need to color the vocal cords area in white (Marked with triangle) and the rest in black, so it will look something like that: i tried to find the contours using that code: import cv2 import numpy as np img = cv2. Apr 2, 2022 · Assuming that you have the contours, you can obtain your result by first creating a mask image of the contours and then performing a bitwise_and operation using that mask. 0. 4. timeit(lambda:cv2. RETR_TREE,cv2. - Erode the mask. We see that there are three essential arguments in cv2. import cv2. drawContours(). How can I do this? Feb 11, 2019 · Lucy8. py , and let’s get coding: # import the necessary packages. RETR_TREE, reorder the contours as per the result given by OpenCV and analyze it. png", cv2. The code I am using is as follows: import cv2. 检测图像中的轮廓。. 3 days ago · Contour area is given by the function cv. It is one of May 7, 2019 · get mask from contour with OpenCV. 1. In this example, we find the contours of each blob using cv2. Laplacian(im,cv2. So before finding contours, apply threshold or canny edge detection. The resulting image can be used as a mask. Different measurement methods are explained in the docs. Jul 19, 2018 · To find the center of the blob, we will perform the following steps:-. shape,np. 该函数将返回一组轮廓的坐标。. Nov 11, 2023 · cropped_images = [] for contour in contours: x, y, w, h = cv2. Oct 20, 2015 · Going with our comments, what you can do is create a list of numpy arrays, where each element is the intensities that describe the interior of the contour of each object. contourArea (cnt) 3. OpenCV, a powerful open 3 days ago · OpenCV comes with a function cv. It adds only a small overhead to the Faster R-CNN network and hence can still run at 5 fps on a GPU. mask = np. cvtColor(test_im, cv2. IMREAD_GRAYSCALE) _, threshold = cv2. More features can be found at Matlab regionprops documentation. cpp in the OpenCV sample directory. Moments. eg it’s the exact bounding box in rect and ignores the mask. In your case, instead of drawing it onto a mask, you can draw it onto your desired image. Check out the wikipedia page on Image Moments. Then use cv2. adaptiveThreshold(im,255,cv2. drawContours() to draw contours on the original image. Perform Binarization on the Image. Fill maskMat with zeros. Appreciate it a lot. drawContours(mask, [contour], 0, 0, 2) supra56 ( 2017-12-27 06:30:07 -0600 ) edit That will draw the boundary with thickness and not the actual matching contour region. In this approach, we will be using numpy library to convert all the co-ordinates of a contour into a linear array. Open up the basic_connected_components. So imagine you want a cv::Mat with white pixels in the black zones of original image. COLOR_GRAY2BGR) # 3 channel mask. Assuming we already have the contour of the shape, we can simply pass the contour and Feb 4, 2011 · Use the contour to create a mask. threshold () function to obtain the threshold image. Prev Tutorial: Contour Features. But I presume that this method won't be real-time at first glance. zeros((55, 55, 4), dtype=np. The idea is that we recalculate each pixel's value in an image according to a mask matrix (also known as kernel). - Threshold. inRange(frame, points[0], points[1])#create mask with Jan 3, 2020 · The input contour image is attached to this message - called contours. imread('vlcsnap2. Since OpenCV 3. ctr = numpy. arcLength () function. The canny edge detector is a multi-stage algorithm for detecting edges in an image. In your case you will need to do the following: // create temporary image that will hold the mask Mat mask_image( your_image. imread("contours. Create maskMat, the same dimensions as srcMat of CV8U. The contours are a useful tool for shape analysis and object detection and recognition. See full list on pyimagesearch. For getting more refined fine edges of the hairs, you can apply thresholding as below: import cv2 as cv. Combine contours vertically and get convex hull - opencv - python. import numpy as np. Convert the Image to grayscale. An image moment is a particular weighted find the center of the contour (moments () or getBoundingRect ()) subtract it from each point in the contour. CHAIN_APPROX_NONE)[0] My goal is to generate a mask using all the pixels within the outer contour, so I want to fill in all pixels within the object to be white. size(), CV_8U, Scalar(0)); // draw your contour in mask. In this tutorial you will learn how to: Use the OpenCV function cv::findContours; Use the OpenCV function cv::drawContours; Theory Code Oct 1, 2018 · Mask R-CNN (He et al. Jan 8, 2013 · Mask and Pixel Points. Mask operations on matrices are quite simple. Aug 11, 2013 · My first idea is to black the outer contour to count the white pixels inside the contour (pupil). Specifically, for each contour, create a binary mask that fills in the interior of the contour, find the (x,y) coordinates of the filled in object, then index into your image and grab the intensit Jan 8, 2013 · Draws contours outlines or filled contours. threshold(mask,0,255,cv2. To emulate this, do mask10 [mask10 > 0] = 255; cv2. //Display the label at the top of the bounding box. Feb 15, 2019 · 輪郭の描画にはdrawContours ()を使いますが、輪郭の階層構造を意識して、外側の輪郭、内側輪郭を考える必要があります。. Mask area is just a rectangular shape. Image moments help you to calculate some features like center of mass of the object, area of the object etc. It is quite simple🤓. mask = (Original < 5); Oct 6, 2021 · $ tree . findContours(image, cv2. Oct 23, 2019 · -1, will fill in the contour while increasing the parameter will give you a thicker outline. Contours Hierarchy. findNonZero (mask) Here, two methods, one using Numpy functions, next one using Next comes contour-2a. But the problem is I don't how to do it. OpenCV provides the findContours() function to detect contours in a binary image. com Jan 8, 2013 · What are contours? Contours can be explained simply as a curve joining all the continuous points (along the boundary), having same color or intensity. but , what you can do is: make a mask from your contour, and mask out (blacken or such) anything inside the boundingRect but outside the contour: Rect roi = boundingRect(contours[i]) Mat mask = Mat::zeros(roi. mask3 = cv. The function identifies contours by analyzing the image’s pixel intensity, connecting adjacent white pixels to form a continuous boundary. To work with transparent images in OpenCV you need to utilize the fourth channel after BGR called alpha with controls it. 填充轮廓的步骤如下：. Vertices of a contour: Since we know that the contour is just the representation of x and y coordinates of its points. Nov 27, 2018 · This python code performs what you want. Second argument specify whether shape is a closed contour (if passed True), or just a curve. Watershed output is one markers image containing a segment code of each pixel. drawContours(mask, [ctr], 0, (0, 255, 0), -1) check documentation here. Python and OpenCV were used to generate the masks. zeros(img. Jan 8, 2013 · Prev Tutorial: Template Matching Next Tutorial: Convex Hull Goal . imread("model. The findContours() function accepts three arguments: Jun 26, 2021 · Apart from telling OpenCV our mask, we provide two additional arguments to the function. 3. I want to detect the contours even if it's out of the mask but need to know where is it. May 2, 2022 · Morphological Operations with OpenCV and Python; Edge and Contour Detection with OpenCV and Python (this article) Canny Edge Detector. have you tried line detection on the edge detected image. - Merge the input and dilated mask. Find the center of the image after calculating the moments. py └── shape. Jan 8, 2013 · For example, I took above image, rewrite the code for cv. Below is the code for finding contours –. It MUST BE OF SAME size: Now to form the mask and highlight the ROI: Now mask the image above with your original image: Now use cv2. Maximum Value, Minimum Value and their locations . 2 days ago · OpenCV >= 3. 3,595 5 5 gold badges 26 26 silver badges 43 43 bronze Sep 21, 2018 · in short - NO. I found this way very time consuming. # load the image. ID") Problem. ap = argparse. reshape((-1,1,2)). Note Since opencv 3. Nov 25, 2020 · Parameter tuning is always required to get the desired output. The function returns +1, -1, or 0 to indicate if a point is inside, outside, or on the contour, respectively. In some cases, we may need all the points which comprises that object. area = cv. You can start by defining a mask in the range of the red tones of the book you are looking for. findContours(binary,cv2. mean like. timeit. where() method to select the pixels from the mask (contours) where you want blurred values and then replace it. size(), img. uint8) cv. imread ("LPR. See squares. Flood-filling cannot go across non-zero pixels in the mask. CHAIN Sep 24, 2021 · cv. imread("path_to_your_image. Let’s go ahead and get started. 輪郭検出にはfindContours ()で目的に合ったRETRモード Mar 11, 2017 · The solution I can think of is to extrapolate the largest possible rectangle using the contour points in the hopes of bridging that small gap, but I'm not too sure how to proceed since the rectangle is incomplete. png -, and here is the code I used to build my nested mask. Resize the mask. Aug 27, 2018 · opencv; mask; contour; Share. threshold (img The contours are a useful tool for shape analysis and object detection and recognition. pyplot as plt. size(), CV_8UC1); mask. 3. Here we will learn to extract some frequently used properties of objects like Solidity, Equivalent Diameter, Mask image, Mean Intensity etc. test_im = cv2. It works best on binary images, so we should first apply thresholding techniques, Sobel edges, etc. 32993 7 81 312. This linear array would contain the x and y co Dec 28, 2016 · answered Dec 29 '16. With thickness=2: With Jul 22, 2018 · Right now I can't, because my code only detects the blue square. Use np. nonzero (mask)) #pixelpoints = cv. import argparse. 7. # Load the image and convert it to grayscale: image = cv2. Again, red letters give the contour number and green letters give the hierarchy order. png") im_gray = cv2. contours): x, y, width, height = cv2. berak (Jun 9 '18) edit. image. In each frame, I want to extract a particular region aka, the contour. It can be done as follows: mask = np. To apply this mask to our original color image, we need to convert the mask into a 3 channel image as the original color image is a 3 channel image. png', 0) Jan 8, 2013 · To find the different features of contours, like area, perimeter, centroid, bounding box etc. py: The only script required in the project contains all the coding involved. Next contour in same hierarchy is contour-7. Apr 9, 2019 · Given your found contours, use drawContours to create a binary mask, in which your contours are filled. 1. In this tutorial you will learn how to: Use the OpenCV function cv::convexHull; Theory Code Aug 3, 2020 · 3. findContours() to find contours in the image above. In CV_8U case, the mask values are treated as binary, i. create a mask and delete inside contour in opencv python. However when I pass it through findContours it always returns the region of interest. boundingRect(contour) cropped_images. May 23, 2013 · The documentation for OpenCV's floodfill function states: The function uses and updates the mask, so you take responsibility of initializing the mask content. 0 # load image image = cv2. Mar 21, 2023 · Contour detection in OpenCV. But I'd like to do this programmatically. 0. It was created by John F. png: The image on which we’ll test out Contour Approximation. hpp". y = max(box. 0 and did not see any of the effects you are describing. The second argument in the function refers to the contour retrieval mode, and the third is the contour approximation method. From a mathematical point of view we Mar 8, 2019 · Load original image and find contours. For example, an edge detector output can be used as a mask to stop filling at edges. array(cnt). ADAPTIVE_THRESH_MEAN_C,\. jpg",0) plt. So I create a mask and burn into it each polygon using cv2. Now, I want to create a mask of all the polygons (in this case the left side). Jan 8, 2013 · Results are also same, but with a slight difference. which as expected resulted in: laplacian. Use cv2. Similarly contour-3 is child of contour-2 and it comes in next hierarchy. mean(frame, mask=mask) Just one word of caution, the mean of RGB colors does not always make The easiest way to save the contour as image is taking out its ROI (region of image) and saving it using imwrite () as follows -. uint8) cv2. from matplotlib import pyplot as plt. imread("test_image. Now as a possible solution to your problem, you could use alpha blending to use the I have the following Image result. Dec 11, 2022 · Here is a step-by-step procedure of the whole algorithm. So 3 days ago · Results are also same, but with a slight difference. 这可以通过使用OpenCV的 findContours() 函数来实现。. Resized, it no longer contains the contour. See the following code snippet for a visualization: Jan 8, 2013 · Contours can be explained simply as a curve joining all the continuous points (along the boundary), having same color or intensity. - Dilate the mask. fzuffer (Jun 9 '18) edit. matchShapes () which enables us to compare two shapes, or two contours and returns a metric showing the similarity. In CV_32F case, the values should fall into [0. The mask parameter simply fills in where floodFill() has been applied, or in case you just want to create a mask and not modify your image. add the center again to each point. Follow edited Aug 28, 2018 at 8:39. y, labelSize. ArgumentParser() 2 days ago · the "sharp" mask calculation: fill the contours that should be sharpened; blur that to get the "sharp" mask (mskSharpG); the "bilateral" mask calculation: fill all the face contours fully; blur that; subtract areas which intersect with the "sharp" mask — and get the "bilateral" mask (mskBlurFinal); the background mask calculation: add two . mean = cv. contourArea () or from moments, M ['m00']. from my program, i did like this "original image -> grayscale Jan 8, 2013 · The function retrieves contours from the binary image using the algorithm . 3 days ago · Mask and Pixel Points. arcLength(contour, True) 3. Please somebody edit my code or give me a step instruction how to do it. png", 1) You then draw the contour(s) onto this image with pixel value 255. Jan 30, 2024 · 1. Contouring is a fundamental technique in computer vision and image processing, playing a crucial role in identifying and extracting object boundaries within an image. Aug 4, 2018 · So those extra AA pixels despite being a smaller gray value than 255, are expanding the edge of the mask, creating your jagged edge in crop. Canny in 1986 and published in the paper "A computational approach to edge detection". We can find these parameters using a mask image. mask = cv. uint8) display_all_contours(mask, df, "contour. Ishara Madhawa. May 20, 2024 · OpenCV: Contour Properties. This mask holds values that will adjust how much influence neighboring pixels (and the current pixel) have on the new pixel value. Contour Properties. COLOR_RGB2GRAY) # find contours and hierarchy with OpenCV. isContourConvex () function: The cv2. zeros (imgray. # construct the argument parser and parse the arguments. Dec 11, 2019 · import numpy as np import cv2 # Mat result # vector<vector<Point> >contours # vector<Vec4i>hierarchy savedContour = -1 maxArea = 0. Jul 24, 2014 · I use the following approach for extracting objects countours after watershed segmentation. Feb 2, 2017 · First, construct an image of black pixels of the same size. white image, black contours), you set all pixels in your input image to 0 expect for the masked (or unmasked) ones. COLOR_BGR2GRAY) # Apply cv2. A super easy solution would be to tape off the part of the tube with black tape and just run the normal code. 创建一个空白画布，大小与原始图像相同。. Oct 27, 2015 · OpenCV allows for easy indexation to create masks. Each individual contour is a Numpy array of (x,y) coordinates of boundary points of the object. The locations where the mask had pixel value 255 (white), the resulting image retained its original gray value. Contouring a binary mask with OpenCV / Python. At the second level, there are boundaries of the holes. Nov 6, 2016 · The first logical way to do things fast was to use the OpenCV library: import cv2. Oct 31, 2021 · Now I'm getting the following image. multiply contour points x,y by a scale factor. The parent directory contains a single script and an image: opencv_contour_approx. The example below shows how to retrieve connected components from the binary image and label them: : #include "opencv2/imgproc. I did the same but it is not accurate. Convert the image to binary (i. findContours(binarayImage, cv2. Next Tutorial: Creating Bounding boxes and circles for contours. 2 source image is not modified by this function. For better accuracy, use binary images. cvtColor(image, cv2. You can draw it on the original image or a blank image. This function takes a single argument, which is the contour that we want to check. png') binarayImage = cv2. It can be found out using cv. Blur the original image and save it in a different variable. boundingRect to get the bounding rectangle for a set of points (i. I have tried using this source: Find and draw the largest contour in opencv on a specific color (Python) And some others. findContours() then draw the outline onto a mask using cv2. im = cv2. cv::Mat mask = cv::Mat::zeros(Original. Note that, row = y and column = x. In OpenCV, finding contours is like finding white object from black background. Here are the important parts of my current code: image = cv2. So instead of creating a three-channel image, create one with four channels, and also while drawing make sure you assign the fourth channel to 255. The second idea is to crop the contour part I've found. , ICCV 2017) is an improvement over Faster RCNN by including a mask predicting branch parallel to the class label and bounding box prediction branch as shown in the image below. Here we will use it to find the image moment for a particular contour. 5, 1, &baseLine); box. maskImage = np. copy() Jan 4, 2023 · We will be using OpenCV findContour() function that helps in extracting the contours from the image. setTo(255, Original == 0); Or. RETR_EXTERNAL, cv2. CHAIN_APPROX_SIMPLE) The instances that are very close to each other are combined resulting in a single contour which is undesirable. OpenCVを使ったPythonでの画像処理について、輪郭の検出（Contour Detection）を扱います。. 2. 946×1288 66. It can be considered as a child of contour-2 (or in opposite way, contour-2 is parent of contour-2a). uint8) Aug 28, 2019 · get mask from contour with OpenCV. 24 2 4. . import imutils. If there is another contour inside a hole of a connected component, it is still put at the top level; cv2. Contour Perimeter. imshow(im) thresh = cv2. Maximum Value, Minimum Value and their locations. findNonZero (mask) Here, two methods, one using Numpy functions, next one using 6 days ago · The contours are a useful tool for shape analysis and object detection and recognition. - Use morphology close and open to clean up noise and small regions to form a mask. You can see an example on one of my simple projects here using the mask parameter. In this tutorial you will learn how to: Use the OpenCV function cv::findContours; Use the OpenCV function cv::drawContours I am using opencv (cv2 module) in python to recognize objects in a video. png with Countours drawn at every rectangle: In the next step I am trying to extract only the inner portion of these rectangles to get the images which has centralised digits (2, 0, 1, 8). It is also called arc length. Then you can just find the contour with the biggest area and draw the rectangular shape of the book. Feb 2, 2017 · finally, if you need the index points of OUTSIDE areas you can invert your mask than repeat findNonZero. astype(numpy. Take contour-0 : It is in hierarchy-0. To find contours in an image, follow these steps: Read image as grey scale image. Apr 19, 2021 · for contour in contours: perimeter = cv2. Numpy gives coordinates in **(row, column)** format, while OpenCV gives coordinates in **(x,y)** format. shape. The Co-ordinates of each vertices of a contour is hidden in the contour itself. Jun 11, 2021 · ret, binary = cv2. Jan 2, 2023 · Method 1: Using the cv2. imwrite("Contours. pointPolygonTest(). Next Tutorial: Contours : More Functions. png", blank) Output: True. I'm using findContours (), after finding contours I want to check is the contour in the mask area or it's out of it, or some part is out from it. Goal. If the objects in the image are black, and the background is white, we need to invert the image so Feb 22, 2021 · Let’s get started implementing connected component analysis with OpenCV. CV_8U),number=100)/100. drawContours (mask, [cnt],0,255,-1) pixelpoints = np. you should convert your contour to numpy array first. Interested readers can further read the documentation what they are. png 0 directories, 2 files. bitwise_and(img, maskImage) Check out my answers here, here, and here to see examples of floodFill() without the mask parameter. type()); drawContours(mask,contours,i,Scalar::all(255), -1); // -1 Nov 11, 2021 · Here is one way to do that in Python/OpenCV. zeros(frame. First use cv2. # Strongly recommended finding for your own camera. Dec 27, 2017 · cv2. shape, dtype=np. The lower the result, the better match it is. THIN_THRESHOLD = 10. After learning from opencv docs, I have the following code snippet: # np is numpy module, contours are expected results, # frame is each frame of the video # Iterate through the contours. The function draws contour outlines in the image if thickness ≥ 0 or fills the area bounded by the contours if thickness < 0 . updated Feb 11 '19. zero and non-zero. Similar code to this works fine using a different process to create the mask. shape, np. Learn to find convexity defects, pointPolygonTest, match different shapes etc. transpose (np. - Read the input. Hello, I have a one question. contourArea(c) >= 2000] # the last parameter, negative line thickness, fills the contour. drawContours( src, contours, i, color, 1, 8, vector<Vec4i>(), 0, Point() ); } } 轮廓填充是指通过在轮廓内部的像素点上填充颜色来创建一个闭合区域的过程。. you're almost there ! all it needs is to actually apply the mask from drawContours ! (bitwise_and it with your binary image) Mat result; vector<vector<Point> >contours; vector<Vec4i>hierarchy; int savedContour = -1; double maxArea = 0. May 22, 2021 · First select all the contours you want to work with, then, plot all the contours filling them with white color so you can use this as a mask, and then mask the original image: selected_contours = [c for c in contours if cv2. hy qc nn ms ie mr kq vx fa lq