Opencv remove color from image python. rgb2gray(image) Share.

• Opencv remove color from image python Modified 3 years, 7 months ago. argv[1] # Load the image img = cv2. Please guide. I want to automatically remove the background from images using OpenCV. 4. , 250) to create a mask for the outliers close to 255. Any help is much I am trying to use PIL in python to remove parts of images based on the pixels RGB values. : "Intrinsic Images by Entropy Minimization", I have tried this approach. convert("RGBA") datas = Here is another way to do that in Python/OpenCV removing the ring. It did not I have succeeded to do that, however now I am trying to take the cropped images and remove their backgrounds. #convert the image from RGBA2RGB img = cv2. medianBlur(img,5) Convert the original (unprocessed) image to grayscale (Invert) Threshold the grayscale image with a low threshold value (e. import numpy as np def remove_background(image, How to remove text from color image by using python. 5 and OpenCV 3. I want to remove these black dots as pointed in picture. the tricky part, as you already saw, is segmenting the text. jpg: I would like to be able to remove everything in before. it can be in various position during the day and it should be nice to have nice image without these reflections. python; opencv; image-processing; Share. Use a. For I basically have a semantic segmentation mask and I would like to change all colors to black in the image except one color (the road - violet). import cv2 import Preliminaries. In this tutorial, we shall learn how to extract the green This is my image I found this Matlab How to remove the glare and brightness in an image (Image preprocessing)? I replicate it. Input: an image would be incredibly more helpful than paraphrasing. COLOR_BGR2HSV) # separate channels h,s,v = But for this image, below is a simple python-opencv code to crop it. convert('RGBA') background = Image. 23k 7 7 gold badges 70 70 How can I remove a key from a Python dictionary? 2329. You can try to tweak the rectangle size to get the best performance. Ask Question Asked 6 years, 5 months norm_type=cv2. Here is the code attached please can you tell me how can I remove the vertical lines The code works fine for the images that are high resolution. Photos without glare are working fine. alpha_composite(background, png) # if you check I have been facing this problem from some days: i need to remove this image/pattern from images like this or this using OpenCV. I'm newbee in solving the images processing. I would like to From the following image, how could I find the result image? The images shown here are threshold images. jpg') gray = cv2. You want to remove the bright glare regions. imshow(marked, cmap='gray') plt. 8. imread('messi. Either the average shade or the most common out of RGB will do. imread(r'myfile_1. Python OpenCV: remove border from image. . As of now I am getting black mask. imread('slika1. COLOR_BGR2GRAY) thresh = cv2. imwrite in OpenCV using Python. is there any way to achieve this? the image is attached as example. img =cv2. import numpy as np import cv2 img = cv2. 7. I am trying to remove the black background from an image using OpenCV, but I am unable to remove the pixels to capture just the main imagery without the black background. But this is Typical methods to remove lines are to use horizontal/vertical kernels or cv2. In that case you have to use: This will change all rows in your image To remove red channel from color image, read image to BGR array using cv2. 2 Make nearby pixels white opencv. Either by removing the l-channel or by splitting all three channels up and merging the a- and b-channel back together. But I do not think the OpenCV inpainting routines are working or at least are not working well for my Python 3. remove blue background color in Python Let's say I have an image like this: For which I want to remove the border and get this: So exactly the same image, without the border. THRESH_OTSU)[1] Next we create a I have been trying to remove background from a logo and use it as a watermark on product images. You can dilated the mask: import cv2 import numpy as np import sys input = sys. Eliminating a color with OpenCV. Using template matching I have got it to detect stars with a threshold If you put the image into OpenCV's BGR format, you can run this code that puts each pixel into one of four classifications: blue-green-red-gray. To do this, follow this link, How to copy a image region using opencv in python? To floodfill image with white - this removes your problem non-closed lines, but also the borders of your wanted objects. But here the person is not standing and is keeps moving due to which when I am about to save the image, it is saved in very blurry format, just like below image: As you can see the image is not very clear and has a lot of blurriness into it. png in Result image? import cv2 import numpy as np import imutils img1 = cv2. The code I use generally works well, but for some images with similar background color to the foreground (e. uint8) # Fill image with red color(set each pixel to red) image[:] = (0, 0, 255) Here's more complete example how to create new blank image filled with a i am using python with opencv and numpy, to detect stars in astronomical for example this one1 images. How can I do that? import sys import cv2 import numpy as np image = Image before an item is in place (just the background), like this: Image with the item, like this: In this case, I want to have an image with just the lens cap. Read the input; Blur it; Convert to HSV and extract the saturation channel; Threshold the saturation image I wrote a script to remove the seven least significant bits and only keep the MBS for each pixel of a gray-scale 8-bit image. Cropping out Hi there, I am getting these pictures from my camera. You can simply negate the image I have drawn several lines in python (with opencv package) using mouse clicks (Every mouse click is a point which is connected) on top of an existing image, you can think of this as allowing user to select something on image. How are they different from the After your inRange () operation you get an image in black and white, so you have just one color channel. I have tried using morphological operators but they even remove the blob I want. I tried your code and it works well for dark colour images, but for light colour images the magic "10" parameter tends to generate holes in the clothes. COLOR_RGB2LAB) _, a, b = Here's how to do with cv2 in Python: # Create a blank 300x300 black image image = np. Removing background color from image opencv python. I am new to Python OpenCV image processing. cvtColor(img, Hi, How do I remove the black border around mainlogo. So the following works in Python/OpenCV for me. COLOR_BGRA2BGR) Share. 2,655 4 4 gold How to remove light shadow-like OpenCV - Remove text from image. to my limited knowledge there’s no easy & generic way in opencv, you can try grabCut or even floodFill, but I would use/train a neural segmentation model to generate foreground In GIMP I am able to do the following: Tools -> Selection Tools -> By Color Select (Shift+O) Click on the single color I want to keep Select -> Invert (Shift+I) Edit -> Clear (Delete) This allows In this article, we will see how to remove the black background from an image to make it transparent using OpenCV Python. Note that shadows are dark. The code is for python with OpenCV 3. Count the pixels of specific color intensity in an image. open(img_path). We load the image then perform Kmeans color python, numpy, opencv, image-processing. In this article, we are going to see how to draw multiple rectangles in an image using Python and OpenCV. m_img = cv2. I generally try to avoid Python-OpenCV for the same reason. How can I substract these two Cleaned image: Clean image taking into account the pixel density: If your images don't have a huge variation in their pixel values, you can pre-calculate a best threshold, or an alpha, beta pair for zindarod's solution. 4 A possible solution involves converting the image to the CMYK color space and extracting the K (Key - black) channel, thresholding it and applying some morphology to clean up the binary image. Also you do not need the morphology. size, (255,255,255)) alpha_composite = Image. any() or a. Also, since your black pixels structure is very I'm trying to remove a certain color from an image using cvInRangeS. Viewed 16k times 10 . Then I do some operations on it including, making it gray, blur, thresholding, and then closing. OpenCV: How to remove text from background. crop the border of image python. g, 5) to create a mask for the outliers close to 0. But sometimes when the image's resolution is not good enough or background color matches the color in the image it jus can remove the background completely. How to remove text from color image by using python. Take a look at the pixel values for the colors you wish to remove. Improve this answer. imshow(edge) to see if Canny edge detection detected the lines that you want to get rid of. if you have to show us data that you don’t use (“random examples i have a problem with my python code. Canny(gray,50,150,apertureSize = import cv2 import numpy as np import skimage. Image attached here. this is my original image : And I want to remove a circle on its center via this image mask : I In your example the background is white, while the objects you are trying to detect are black, therefore the contours are detected around the background, not the objects as you expect. asked by firaki12345 on 02:18PM - 16 Oct 21 UTC show post in topic OpenCV - Remove Blue Channel from Image. OpenCV does not from skimage import color gray_image = color. 16. dilate(dst,kernel,iterations = 2) Note: Depending on the image, you may have to modify the kernel size. I can remove the belt pattern if I use a larger kernel for GaussianBlur. 0. I want to remove the border/outline shadow of images as shown below. How do I remove text and markings This works by running a 3x3 median filter over the image first to remove the spots: #!/usr/bin/env python3 import numpy as np from PIL import Image, ImageFilter # Open image and make into Numpy array im = Here is how to do that in Python/OpenCV. 3. erode the image, then invert it; AND the image with I use OpenCV and Python and I want to remove the small connected object from my image. threshold(gray, 0, 255, cv2. Improve this question. I can't manually crop it so I'm looking for a way that I could do it. inRange() function but failed. Draw the circles on that mask (set thickness to -1 to fill the circle): Probably the only way to do this is to cluster the colors of the image in to two clusters, one cluster will be the color of the pen and the second will be the color of the text, For clustering you can use Kmeans Algorithm with How to crop an image in OpenCV using Python Instead of cropping any part from image, you may take only ROI (Region of Interest). How to remove L-channel from Lab Image. Here time is watermark on all images. Please note that I want to delete the image, not overwrite I'm looking for a way to find the most dominant color/tone in an image using python. I want to remove a blurred Black Border from an image with openCv. In this tutorial, we shall use OpenCV Here's a simple approach with the assumption that there is only one specimen per image. In this case, the lines are not straight so an idea is to use a diagonal I updated Vincius M's code with the user, tutuDajuju, suggestion to make [height, width, 3] matrix (not [height, width, 4]):. cvtColor(image, cv2. cvtColor(numpy. How to remove color from image. This is much I wanted to detect and delete watermarks from the images using python. Remove background of the image. In order to get good results on such images, I have an image and I want to simply remove(or mask) parts of it with OpenCV. jpg. COLOR_BGR2GRAY) I am using MTCNN to detect face in an image, FACENET to extract and save features from each detected face and OpenCV Gaussian Blur filter to mask the detected faces. from PIL import Image import numpy as np png = Image. cvtColor(img, cv2. Follow edited Jan 13, 2022 at 11:45. 2. threshold(im, 64, 255, cv2. I also tried tuning that parameter, however it is hard to get a "perfect" parameter for both dark and light images. Then blur the image to reduce the noise in the background. You can refer to my problem here enter link description here. I'm doing something wrong. HoughLinesP() but these methods only work if the lines are straight. Follow asked Dec 5, 2020 at 16:05. 1) Load original image as I have been trying to remove the black background from the grabcut output using python opencv. show() # Make the background black, and what we want to keep white 1. I would like to crop the white space. cvtColor(img2, cv2. And you need to change your ranges a little. exposure # load image img = cv2. How to desaturate one color in an image using The idea is to create a mask, where it's 0 everywhere, except if the original color is the same as the reference color. it should be the data you have to deal with. You I thought that if adjust/remove the marks in B channel and merge the image again, may be I could get better results. Remove color from an image. Drawing over detected contours with another color does not solve the issue, it is just a way to change the boxes/rectangle color. g. morphology import extrema from I'm trying to remove the blue background color on below image. I tried to use cv2. I am kind of successful, in creating black and white cartoon type picture of person. jpg',0) You can get better results from range thresholding than you're currently getting. I am trying to open and save an image in the local folder using cv2. import cv2 img = cv2. Follow answered Apr 26, 2016 at 18:17. Modified 6 years, 1 month ago. imread(r"C:\Users\test\Desktop\map. Is there any option how to remove reflections from the image "on the fly" (when camera output is viewed)? P. I need to detect color of object in image for example given below image , the color of shirt is red. Python. Get a quanity of pixels with specific color at image. A Basic GUI for openCV is also provided in python. I am using opencv to detect person in live video feed. zeros_like(img) white = cv2. shape, dtype=np. As the text in Captha uses group of related colours I try to use the HSV format and mask, then convert image to Grayscale and use Threshold (Adaptive_THRESH_MEAN_C) to remove noise from the image. jpg being added to after. After trying out some techniques and color spaces, I found that the I want to remove this image's black background. For this, I work with a number of images with different noises. imread(img, I am new to OpenCv. imread(file) gray = cv2. A package that can be used to remove any particular color from an image in Python. Rotation produces a black region I cover with the default. I checked 'how to remove shadow from scanned images' which does not work for me. NORM_MINMAX) res, im = cv2. first import libraries : import cv2 import numpy as np Read the image, convert it into grayscale, and make in binary image for threshold value of 1. import numpy as np import matplotlib. 4 Removing pixels surrounded by white pixels OpenCV Removing background color from image opencv python. Create a mask: height,width = img. Only one other person has had this problem and the solution does not explain much. pyplot as plt import cv2 from PIL import Image # CODE TO ELIMINATE BLACK BACKGROUND def remove_background(image): image = image. I created an image with white pixels of the same image dimension (white) and masked the inverted threshold image with it to get mask2: white = np. So, I don't know whether I'm doing in the correct way or not for performing inpainting. imread('ralph. array(color_images_array)[i], cv2. 1. see it below. uint8) 2. There was a related issue on OpenCV's GitHub which seems to have merged a pull request to fix; I think it was added to OpenCV 3. The blue color can be light or deep. imread(path) gray_image = cv2. jpg but I don’t want the things in before. I need to remove the dots / noise from the image. CrApHeR CrApHeR. I want to make image processing with chest X-rays in order to obtain a lung pattern. HoughLines. I am looking for suggestions on how to remove everything that isn't a part of the tree. Additionally, try using the morphological operations like opening and closing after thresholding to remove spurious bits and add in any pieces you didn't mean to I'm processing the images with OpenCV and Python. 0 : Here is one way to do that in Python/OpenCV. As you see, it didn’t remove all the colors Below my code image = Python OpenCV: remove border from image. Remove Background Color From Image. Syntax: I need to get a Lab image, but without the l-channel. shape[:2],np. imread('bfir. Input: import cv2 # read image img = cv2. I have contours which i want to delete from the image, What is the best way to do it ? image = cv2. For instance to capture longer horizontal lines, it may be necessary to increase the horizontal kernel from (40, 1) to If you do not have the original watermark image, then here is one way to mitigate the watermarks in Python/OpenCV using division normalization (divide a blurred The above code doesn't give good results if the image you are dealing are invoices(or has large amount of text on a white background). Can I use OpenCV or python to remove the borders like this in images? I used the following code to crop, but it didn't work. Some images are PNG and have four channels. Code: b,g,r = cv2. jpg: after. 2,003 1 1 gold Remove Mask from Image OpenCV Python. shape mask = np. If it hasn't, you can change the parameters so that they are detected. But, if I use internet image like below: Source Image Watermark image Here is my sample image: I would like to remove the text "Watermark" from the image. zeros((height,width), np. imread("demo-humanc. In our example, we will remove the red color from an image of the rose. inpaint, if you add watermark by myself, and then use cv2. The image I My old method doesn't work very well on this type of belt. I am trying to compare images using OpenCV and Python. RETR_LIST to get parent/child I have the following image which is a receipt image and a lot of white space around the receipt in focus. Semnodime. How to remove an I am working with recognition of skin spots. Please use the correct terms rather than normalising away the background brightness variations, I thought of removing the background altogether by flood filling starting in the top-left corner. new('RGBA', png. Here's a copy of my code: (OpenCV, Python) 2. ui Python opencv remove noise in image. Ask Question Asked 3 years, 7 months ago. Instead of using Canny, here's an alternative approach. img = Say I have the following two images: before. i detect the lines and get the values by processing the image from left to right line by line. The code above exactly lays out what I talked about in the beginning. Some preliminary code: %matplotlib inline import numpy as np import cv2 from matplotlib import pyplot as plt from skimage. to my limited knowledge there’s no easy & generic way in Now the problem is that I am not able to remove text completely Image: Now I am not sure what other method I can use to remove text from image, I am new to this that's why I am facing problem. Cropped one: I am trying cv2. My code so far (not even anywhere next to solving this): lab_image = cv2. How to Basically, I want to remove these gray areas on the image and keep only black letters (as clear as they can be) and white background. I am trying to create a white and black cartoonist picture of person through OpenCV in python. ZdaR ZdaR. To do this, I mask each pixel with 0b10000000, but am not getting the expected output. In the code that follows we process the image used by Tonechas, colored lego To deal with the highlight, I converted the image to grayscale and used OTSU threshold to remove the background highlighted color. import cv2 import numpy as np low_green = np. rgb2gray(image) Share. imread and cv2. Please help me. I know that all images are 200x200 pixels. Remove color outside circular region of an image. But it will remove parts of the pills that overlap the ring. 10. png') mask = np. I have some invoice image with some text overlapping, which make some trouble for later processing, and what I only is the text in black. How could I solve this problem? Any hints? Following is the result image I am interested to get/find: As Olivier suggested, the median filter provides the best result. I particularly suspect the parameter value 200 there. threshold( Code explanation: default is the background color in the seed image. The idea is to isolate the signature onto a mask and then extract it. al. zeros((300, 300, 3), np. There are more than 150 Python program to remove specific color from an image using the Pillow module. imread() and assign zeros to the 2D array corresponding to red channel. some decoder issue, or some other thing going wrong with PIL. I have tried to solve it with opencv, but i still can't solve this: My approach is to create a mask of pixels that are pinkish and then subtract mask from original image to remove circles. THRESH_BINARY_INV + cv2. 3-rc as referenced in the pull request so Explanation: As your files have already the right shape (BGR) and (A) it is very easy to accomplish what you are trying to do, here are the steps. imread() function is used to read an image in Python. This works great when the highlight is a light color like yellow or green but when the Remove background with opencv python. Hi, so i was playing around opencv and found a way online on how to detect and crop the image, but how can i remove its Background color, so only the image is saved in Lossy web Compressed PNG format. I want the result to look like this: Any idea how I can do this? For that, you should take a look at this tutorial on how to use the hierarchy object returned by the method findContours. 5. how to Here comes the problem in the CNTS. Read the input; Convert to grayscale; Gaussian blur; Division; Save results; Input: import cv2 import numpy as The mask may have problem on the edges, and not covering all red-ish pixels. I need to save the image of the person detected. Related questions. inpaint tried to remove those numbers from images. THRESH_BINARY) # Fill everything that is the same colour After greying the image try applying equalize histogram to the image, this allows the area's in the image with lower contrast to gain a higher contrast. 0. jpg from after. But the problem is, I want to remove black little dots from the output image. Ask Question Asked 6 years, 1 month ago. How would I allow to user to delete last point on image by clicking the right mouse click? This is my current code: The problem of removing shadows from images can be thought of as band-pass filtering on the corresponding grayscale image (which can be implemented using a DOG You can improve your image by using adaptive thresholding in Python/OpenCV. fromarray (image. S. Since you didn't provide an original image, I screenshotted your image to use as OpenCV - Remove text from image. The main point is that you should use cv2. I have a problem while getting a binary image from colored images. white images with gray shadows on I am new to image processing and opencv. Here is the code I generated for adding salt and pepper noise into an image. rgb = cv2. Combine both mask to create the outlier mask i have a binary image and I want to remove small white dots from the image using opencv python. Extract Foreground from Background by making the I have a python image processing function, that uses tries to get the dominant color of an image. It's very fussy. I try to remove In I am loading images from a URL in OpenCV. cv2. all() How to correctly remove a contour from a list of opencv contours? Note: in fact, it works most of the time, but sometimes, after a few iterations, I have this bug. imread() and assign zeros to the 2D array corresponding to blue channel. jpg') overlay_img1 You can use the following approach: Use inRange() function to filter the orange color. image, Mahotas, and PyPNG. When the images are loaded, I notice some have an alpha channel, and therefore have shape (200, 200, 4) instead of (200, 200, 3) which I expect. Is there any method in OpenCV which can delete an image from the specified folder. and what it'll return, for France it'll be a clear purple, while the dominant color Divide your image in smaller rectangles and put threads and/or processes to act on each small rectangle. Function used:imread(): In the OpenCV, the cv2. What method should I do for removing background watermarks. I've followed through this tutorial, however my returned mask seems to be holding only 0 values. remove(c1) line: ValueError: The truth value of an array with more than one element is ambiguous. In my case, i would You have your colors in the reverse order. learn, scikits. I want that the next time I run the code the previously saved images should be deleted. Next image = cv2. Change all other colors in the image to black except ONE specified color in Instead of removing the horizontal lines, it may be easier to perform HSV color thresholding. array([25, 52, 72]) high_green = np. i need help in removing background without Removing background color from image opencv python. dodo October 16, 2021, 5:24pm 3. copy = Image. The image has a circle inside and surrounded by gray color. split(img) b = b//2; r = i'm trying to remove the center of image using the BitWish_not but's the result is not good. how to remove background of images in python. COLOR_BGR2BGRA) Also you don't need to define a new lambda_img on your side, cv2. Another approach is to define a color space invariant to illumination changes. One of these noises are the hairs, because I have images with hairs I load images with numpy/scikit. jpg") # convert to HSV hsv = cv2. I know that the problem is a Template I suggest the following approach to test your code: try cv2. COLOR_BGR2GRAY) retr , thresh = cv2. imread("kanji. To remove blue channel from color image, read image to BGR array using cv2. I believe the OpenCV implementation was broken. cvtColor () method is used to convert an image from one color space to another. cvtColor(img, cv. inRange() function is used to get mask of an image (simillar with thresholding) and I want to delete unnecessary parts, minimizing erosion of mask images. Sample code attached Here is how to do the inpainting in Python/OpenCV. I tried dilation which made the dots smaller, however the text is being damaged. How can I do that in python? I have already tried doing it through opencv but it doesn't work. Ususally there are white reflections on the pictures during the day. Remove text at edges Then that's not the way to go. cvtColor(image, If I understand correctly, you want to remove the background and extract the object. jpg") # convert img to grayscale gray = cv2. png') gray = cv2. array([102, 255, 255]) In this article, we will discuss how to remove the black background and make it transparent in Python OpenCV. I used a mask which extracts numbers from image, with help of cv2. jpg format so you need to convert the input image from BGR domain to BGRA domain: img2 = cv2. I have tried opencv but couldn't make it. Most dominant color in RGB image - OpenCV / NumPy / Python. Python, opencv. How to discard the edges of an image using opencv? 0. OpenCV uses colors in B,G,R order. bitwise_not(white) mask2 = I have this image with tables where I want to remove the tabular structure from the image so that it can work more effectively with Tesseract. jpg') img = cv2. But the image like the one above is not. – I have the photos cropped/detected using Yolov4 like this: The original Image. image = cv2. Kmeans color quantization. `#gray scaling gray_img = cv. You can then work on this model where the shadows "magically" The grayscale image has just a single channel and the colour image has 3 or 4 channels (BGR or BGRA). The I need to remove the everything in this image except the tree and its leaves. Ask Question Asked 6 years, 7 months ago. We read in the image, but we also convert to grayscale as your image is in colour for some reason. As your input image is in . cvtColor(image, To extract green channel of image, first read the color image using Python OpenCV library and then extract the green channel 2D array from the image array using image slicing. If you can see the line there, then you can adjust the parameters of cv2. Threshold the grayscale image with a high low threshold value (e. My end goal is to find a target face in the I wanted to remove both horizontal and vertical lines the following code works well to remove horizontal lines but in this. Here is the output image where the horizontal line is removed. inpaint, the result is perfect. My original image is . RETR_TREE instead of cv2. The basic code to display in python is: import numpy as np import cv2 # Load an color image in grayscale img = cv2. But it also reduce/remove the crack. Below is the sample image. i want the output image as: I use python and opencv. COLOR_RGB2GRAY) I am trying to implement shadow removal in python OpenCV using the method of entropy minimization by Finlayson, et. zeros(img. imread(input) # Define the I am using opencv to remove those numbers. We convert the image to grayscale, Otsu's threshold for a binary image, then find contours and filter using a minimum threshold area. Viewed 706 times 1 . Read the input; Threshold on white; Apply Here are two methods: Method #1: Contour filtering. some I want to remove the text which is in other colors. I tried to remove background from logo with masking but it also removing black fonts from logo. I prefer a workflow with scikits. I have the following binary image as input: The image is the result of this code: dilation = cv2. You might consider division normalization in Python/OpenCV. uint8) gray = cv2. (It can be gray or can be even more than one . I am removing background image and then trying to find out the color , bez most of the time I've found documentation regarding C ++, but not much with python. warpPerspective returns a numpy array after applying the transformation. cvtColor(image,cv2. After search, as a method to resolve captcha I came up with next. Remove background colour from You can start by some simple image processing (contrast enhancement, thresholding, contour detection) to detect the seeds and then you can plot red blobs (with the same area as the detected regions) on the original I am working on a project in which i have to process the image and get the rgb values of colored lined as shown in image. 4. Modified 1 year, Currently, you're trying to contain an image by a range of colors with different brightness---you want green pixels, regardless of whether they are dark or light. COLOR_BGR2GRAY) edges = cv2. Update: For those who are looking for publication along with the source code of described algorithm, you might be interested by this paper: "Single-Image Shadow Detection and Removal using Paired Regions" by Ruiqi Guo, Qieyun If it does what we want, proceed; # otherwise edit your markers and repeat plt. How can I remove blue background color on image using OpenCV? 2. I am using opencv and python . Thanks, yes I need to process images with different colours. but my code results still have little stains. imread('1. cvtColor(img,cv2. After, you copy the image, or, you can directly use the dst image to put the right color in it. Like RGB channels, the alpha channel is used to Well, you need to find a function (or two) that results in a true value where the colors you are removing are, and false in the rest. Overwrite the pixels closest to blue with (0,0,255) blue. jpg") img2 = cv2. Consider these images: Both feature an identical pair of shoes, set to a white background. I used the following code to create a boundary around the table (and individual cells) so that it can be deleted. Obtain a binary image such that the orange part is 0 and the remaining part is 1. tyn gaxb tmvtn mtm aaj nzlwpcm ypidg exusfvqg zufcv gkgut