{"id":3431,"date":"2022-03-19T18:57:08","date_gmt":"2022-03-19T13:27:08","guid":{"rendered":"http:\/\/myprojectideas.com\/?p=3431"},"modified":"2025-11-01T11:58:45","modified_gmt":"2025-11-01T11:58:45","slug":"create-a-single-coloured-image-using-opencv-library","status":"publish","type":"post","link":"https:\/\/rudelabs.ai\/blogs\/create-a-single-coloured-image-using-opencv-library\/","title":{"rendered":"Create A Single Coloured Image Using OpenCV Library"},"content":{"rendered":"<h2><strong>Introduction of the Project<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Today, we are going to explore one feature of OpenCV, which is to get a single coloured image from a colourful image. Wanna make a colourful image greyish in colour? Try it once using the power of OpenCV. <\/span>This Python Program to create a single coloured image using OpenCV Library allows you to successfully make a multi-colour image into a single-colour image with a smaller code displayed in the upcoming sections.<\/p>\n<iframe loading=\"lazy\"  id=\"_ytid_70484\"  width=\"1080\" height=\"607\"  data-origwidth=\"1080\" data-origheight=\"607\" src=\"https:\/\/www.youtube.com\/embed\/SGmEX6Xb7YI?enablejsapi=1&autoplay=0&cc_load_policy=0&cc_lang_pref=&iv_load_policy=1&loop=0&rel=1&fs=1&playsinline=0&autohide=2&theme=dark&color=red&controls=1&\" class=\"__youtube_prefs__  no-lazyload\" title=\"YouTube player\"  allow=\"fullscreen; accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen data-no-lazy=\"1\" data-skipgform_ajax_framebjll=\"\"><\/iframe>\n<p>&nbsp;<\/p>\n<h2><strong>Requirements<\/strong><\/h2>\n<p>1. <span style=\"font-weight: 400;\"><a href=\"https:\/\/code.visualstudio.com\/\">VSCode<\/a> or any python IDE<\/span><\/p>\n<p>2. OpenCV library and Numpy must be preinstalled on your pc<\/p>\n<p>3. <span style=\"font-weight: 400;\">An image to get a single coloured image.<\/span><\/p>\n<h2><b>Steps To Create A Single Coloured Image Using OpenCV Library<\/b><\/h2>\n<p><b>Step 1: <\/b><span style=\"font-weight: 400;\">Install OpenCV and NumPy if you don&#8217;t have them in your system.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Paste the below line of command in your command prompt and press enter.<\/span><\/p>\n<p><strong><em>pip install opencv-python<\/em><\/strong><\/p>\n<p><em><strong>pip install numpy<\/strong><\/em><\/p>\n<p><b>Step 2: <\/b><span style=\"font-weight: 400;\">Paste the below piece of code in your editor\/IDE.<\/span><\/p>\n<h2><b>Source Code<\/b><\/h2>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\"># Import modules\r\n\r\nimport numpy as np\r\n\r\nimport cv2\r\n\r\n\r\n\r\n\r\n# Here, we are reading an image using opencv\r\n\r\nimgOriginal = cv2.imread('Videos\/image.png')\r\n\r\n\r\n\r\n\r\n# Resizing the image\r\n\r\nimg = cv2.resize(imgOriginal, (500, 600))\r\n\r\n\r\n\r\n\r\n# Here, we are opening an image using opencv\r\n\r\ncv2.imshow('Coloured Image', img)\r\n\r\n\r\n\r\n\r\n# To get image height and width\r\n\r\nheight, width, channels = img.shape\r\n\r\n\r\n\r\n\r\n# To convert the BGR image to HSV colour space\r\n\r\nhsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)\r\n\r\n\r\n\r\n\r\n# To obtain the grayscale image of the original image\r\n\r\ngray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\r\n\r\n\r\n\r\n\r\n# To set the bounds for the red hue\r\n\r\nlower_red = np.array([160,100,50])\r\n\r\nupper_red = np.array([180,255,255])\r\n\r\n\r\n\r\n\r\n# To create a mask using the bounds set\r\n\r\nmask = cv2.inRange(hsv, lower_red, upper_red)\r\n\r\n\r\n\r\n\r\n# To create an inverse of the mask\r\n\r\nmask_inv = cv2.bitwise_not(mask)\r\n\r\n\r\n\r\n\r\n# To filter only the red colour from the original image using the mask(foreground)\r\n\r\nres = cv2.bitwise_and(img, img, mask=mask)\r\n\r\n\r\n\r\n\r\n# To filter the regions containing colours other than red from the grayscale image(background)\r\n\r\nbackground = cv2.bitwise_and(gray, gray, mask = mask_inv)\r\n\r\n\r\n\r\n\r\n# To convert the one channelled grayscale background to a three channelled image\r\n\r\nbackground = np.stack((background,)*3, axis=-1)\r\n\r\n\r\n\r\n\r\n# To add the foreground and the background\r\n\r\nimg_ca = cv2.add(res, background)\r\n\r\n\r\n\r\n\r\n# To show grey shaded image\r\n\r\ncv2.imshow('@Grey_Shaded_Image', img_ca)\r\n\r\n\r\n\r\n\r\n# To save image using opencv\r\n\r\ncv2.imwrite('Grey Shaded Image.jpg', img_ca)\r\n\r\n\r\n\r\n\r\n# This waits for a pressed key\r\n\r\ncv2.waitKey(0)\r\n\r\n\r\n\r\n\r\n# To destroy all GUI windows\r\n\r\ncv2.destroyAllWindows()<\/pre>\n<h2><b>Explanation Of The Code<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">In the beginning, we imported two modules, OpenCV and NumPy.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">1. Now, we open the original coloured image from its path and show it, using imread() and imshow() functions.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">2. After that, we resize the image using resize function.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">3. Then, we convert the BRG image to grayscale using mathematics, bitwise_and(), bitwise_not(), and add() functions.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">4. Now, we are showing and saving the grey shaded image using imshow() and imwrite() functions.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">5. Finally, we are closing all the GUI windows using the destroy all windows function.<\/span><\/p>\n<h2><b>Output<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The Colourful and single coloured image is shown below using this single coloured image using OpenCV Library python code.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-18432 size-full\" src=\"https:\/\/rudelabs.ai\/blogs\/wp-content\/uploads\/2022\/03\/Create-A-Single-Coloured-Image-Using-OpenCV-Library.webp\" alt=\"Create A Single Coloured Image Using OpenCV Library\" width=\"1022\" height=\"644\" \/><\/p>\n<h2><b>Things to Remember<\/b><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Install both the modules prior to pasting the code.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Write the name of the modules in lowercase only.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Wanna make a colourful image greyish in colour? Here is a Python Program to create a single coloured image using OpenCV Library <\/p>\n","protected":false},"author":1,"featured_media":8356,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[7,5],"tags":[14,21,22],"class_list":["post-3431","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-coding-projects","category-python","tag-how-to","tag-opencv","tag-python"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.1.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Create A Single Coloured Image Using OpenCV Library - RUDE LABS<\/title>\n<meta name=\"description\" content=\"Wanna make a colourful image greyish in colour? 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