Remove Text From Image Opencv

Here is the code to remove the Gaussian noise from a color image using the Non-local Means Denoising algorithm: OpenCV 3 image and video processing with Python. I want to remove shadow from a video. This indicates that the region is more likely to be a text region because the lines and curves that make up the region all have similar widths, which is a common characteristic of human readable text. Just make sure that all the libraries are linked properly. OpenCV 3 Tutorial image & video processing Installing on Ubuntu 13 Mat(rix) object (Image Container) Creating Mat objects The core : Image - load, convert, and save Smoothing Filters A - Average, Gaussian Smoothing Filters B - Median, Bilateral OpenCV 3 image and video processing with Python OpenCV 3 with Python Image - OpenCV BGR : Matplotlib RGB. ? $\endgroup$ - OpenCV User Apr 22 '15 at 4:48. Practice As Follows. Notice: Undefined index: HTTP_REFERER in /home/cocofarmhoian/public_html/v712pe5/04740. I think there is a bug with Codacy. Or a literature text that contains quotes in a foreign language. OpenCV is a suite of powerful computer vision tools. Here are the two images that were captured during the course of the video: The image on the left is the original image captured on the Beaglebone black using OpenCV, which has been encoded in PNG format. Python Image Processing With OpenCV There are many image processing packages for Python. Computer vision is a rapidly growing field devoted to analyzing, modifying, and high-level understanding of images. Get A Free Trial. it removes noises but deep shadow is res. Here I am using below script to remove black spot near the image and remove line-through above number but it removes noise but not properly. This is one way you can proceed. How to remove text from manga page?. $> sudo find / -name "*opencv*" -exec rm -i {} \; The above command will find any file containing opencv in the name, and will prompt you to remove it. Click the Trash icon in the toolbar or press Delete / Backspace on your keyboard. Also often there is only one noisy image available. x installed on your system. hello is it possible to extract infrared channel from digital rgb image? any ideas appreciated. image_to_string(Image. The image below displays what I mean: Depth of View issues The index finger and middle finger of the model should be fairly similar in length on a typical hand, however they would be measured and return a result that has the index finger being atleast half the size purely because of the angle at which we're capturing the hand at. We show how to load an input image from an SD card, and also how to grab video frames from the Android camera by only using OpenCV native C++ code. Please SUBSCRIBE my channel to. Canvas only supports data with 8 bits per pixels. Here is a quick overview of how I installed OpenCV on my Raspberry Pi with debian6-19-04-2012. Introduction. I am using open cv to do this job it is working fine but the problem is I need to set different lower threshold to convert noisy image to readable text. Essentially the IplImage is a structure but it has a pointer that points to some image data in it. A step-by-step guide to building your own desktop security system with a facial recognition machine learning algorithm. jpg”,0) As seen in the above piece of code, the first requirement is to import the OpenCV module. Several simple fonts are available in OpenCV which can be used to write text. If you have images for the tutorial create an images folder and add your images there. OpenCV assumes that images are in BGR format by default but if we want to swap this order to RGB, we can set this flag to True which is also the default. py or you can directly open fpt. And by non white background I don't mean any colored background or too much uneven background. First, you will need to set up your environment. Whether you’re completely new to computer vision, or have a basic understanding of its concepts, Learn OpenCV 4 by Building Projects – Second edition will be your guide to understanding OpenCV concepts and algorithms through real-world examples and projects. Another way to read in the images of dataset could be to store the paths of all files in a text file and parse then parse the text file. Best Tools to Remove Text from Photo Snapseed (iOS) Snapseed is an amazing photo editor that can be used to remove text from image. Working-with-Text-on-Images Requirements : Python ,OpenCV ,pytesseract and scipy Extracting text from images, removing grids from images, removing background and extracting useful text using OpenCV. We can write a program which allows us to select our desire portion in an image and extract that selected portion as well. One of them is the PIL, and comes with the distribution Anaconda. This is what I normally use to convert images stored in database to OpenCV images in Python. The objective of this post is to demonstrate how to detect and count faces in an image, using OpenCV and Python. In a previous article I presented how to compute the skew angle of a digitized text document by using the Probabilistic Hough Transform. In the images shown above, notice how the stroke width image has very little variation over most of the region. These glyphs (converted to CV images) are then used to train a K-Nearest model. In this blog post, you will learn how to extract email and phone number from a business card and save the output in a JSON file. In this introductory tutorial, you'll learn how to simply segment an object from an image based on color in Python using OpenCV. As mentioned in the first post, it’s quite easy to move from detecting faces in images to detecting them in video via a webcam - which is exactly what we will detail in this post. Extracting a ROI (Region of Interest) using OpenCV and Python is not so hard as it could may sound. don’t forget OpenCV stores things internally as BGR not RGB. imread() and assign zeros to the 2D array corresponding to blue channel. Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used Computer Vision techniques to build your own Open CV projects from scratch. NET compatible languages such as C#, VB, VC++, IronPython etc. OpenCV - Change detection or background subtraction. To extract text from an image or to recognise text from an image we need to use Tesseract, which is probably the most accurate OCR engine available. From the images you can see that the background is close to plain white. So in this post I am trying to explain the approach which I have used to create the detection model. 1) You need to set a color threshold based on the color of disease within L*a*b. Work with new OpenCV functions to detect and recognize text with Tesseract Who this book is for If you are a software developer with a basic understanding of computer vision and image processing and want to develop interesting computer vision applications with OpenCV, this Learning Path is for you. imshow function. Using brush tool in the paint, I marked missed foreground (hair, shoes, ball etc) with white and unwanted background (like logo, ground etc) with black on this new layer. There's an amazing Android app called CamScanner which lets you use the camera of your mobile phone and scan any text document. Tags c++, image-processing, mat, opencv, pixel Shift image content with OpenCV Starting from an image, I would like to shift its content to the top of 10 pixels, without change the size and filling the sub image width x 10 on bottom with black. OpenCV image filters. In this blog post, you will learn how to extract email and phone number from a business card and save the output in a JSON file. Image Denoising in OpenCV. newspaper), how to extract photos in it or remove text region. In a previous article I presented how to compute the skew angle of a digitized text document by using the Probabilistic Hough Transform. Today’s tutorial is a Python implementation of my favorite blog post by Félix Abecassis on the process of text skew correction (i. The article describes the theoretical bases of the contour analysis and aspects of its practical application for image recognition. EXE Injector in Visual Basic? How to Make a Simple Folderlocker in Windows? How to solve "Could not update. OpenCV has more than 47k people community and an estimated number of downloads exceeding 14 million. imread('ultrasound. Programming Languages As title said, any solutions on how to remove the shadow in image via openCV? Thanks and appreciate any helps!, ID #4055495. Anyway, thanks for the tutorial :) Reply Delete. ui Design Form with The PushButton. NOTE: need cv (not cv2) wrapper function. We will add noise and…. For doing so we are going to use OpenCV. We’ll be using this mask along with bitwise operations later on in the code to perform the actual removal of the contour. Emgu CV is a cross platform. Identification of the different connected components in an image. Remove shadow from landsat image. Specifically, i'm interested in removing the text in the boxes like the red boxes in the image bellow (the images are open source). 10 Apply a mask for a colored image; 11 Extracting text from Image (OCR) 12 Detect and correct text skew; 13 Color Detection; 14 Reduce Noise; 15 Get image contour; 16 Remove Background from an image; Install OpenCV. Simple video stabilization using OpenCV. Several times, I have read questions regarding how to use OpenCV in MFC projects, so I decided to made a simple application demo, a VS2010 project, that reveals a way to use computer vision library inside of VC/MFC project, developed in an MDI application. imread (“Penguins. This tutorial is a follow-up to Face Recognition in Python, so make sure you’ve gone through that first post. Viewed 2k times 4. The OpenCV Visual Studio project will be used later to build the OpenCV library together with the extra modules. Privacy & Cookies: This site uses cookies. In this OpenCV with Python tutorial, we're going to cover Morphological Transformations. As mentioned in the first post, it’s quite easy to move from detecting faces in images to detecting them in video via a webcam - which is exactly what we will detail in this post. From the list of widgets on the left of the designer, drag in a label and two pushbutton widgets. After checking that the image data was loaded correctly, we want to display our image, so we create an OpenCV window using the namedWindow function. # Create a window with an image in it! cv2. And by non white background I don't mean any colored background or too much uneven background. Emgu CV is a cross platform. So we shall write a program in python using the module pytesseract that will extract text from any image. You can perform simple threshold operation on an image using the method threshold() of the Imgproc class , Following is the syntax of this method. It is assumed that image only has one object. Split into training and testing set (70 % train 30 % test) Use HOG for both positive and negative sample. This time when we iterate over the faces we declare the region of interest on the face on line 54. With its healing tool, it is quite easy to remove the text and even any unwanted content on your photo. Smooth out the trajectory using a sliding average window. Remove yourself from a group text. Setup opencv, tesseract ocr, import these libraries to java project. Please SUBSCRIBE my channel to. I tried with sed but it didn't work. In OpenCV, a video can be read either by using the feed from a camera connected to a computer or by reading a video file. > I´m performing some operations and after them I´m using the Hough transform > to detect circles, and after detect them,I draw them in the image. Session 23: OpenCV – Histogram Equalization ——————————————-Then we will make use of Histogram Equalization to equalize the image to remove the rough edges of the image to equalize the color, the contrast of. MOG Background Reduction OpenCV Python Tutorial In this OpenCV with Python tutorial, we're going to be covering how to reduce the background of images, by detecting motion. open(filename), lang=”pol”). text = pytesseract. 5 as a scripting engine. We are using a red coloured cloth as foreground image; you can use any other color of your choice but need to tweak the code accordingly. The method can remove the perspective and lens distortions from an image. data in opencv/samples/cpp/ folder. Go to samples directory in OpenCV package. Using OpenCV for Filtering Images. If you have previous/other manually installed (= not installed via pip) version of OpenCV installed (e. Given an image such as: I want to remove the "red text" from this image. In the past, we had to write our own bounding box selector by handling mouse events. There are multiple aspects. Unfortunately this simple method is not robust to camera and scene motions. , "deskewing text") using OpenCV and image processing functions. To prevent that we have to add small border, border 5 pixels wide works just fine. The image below displays what I mean: Depth of View issues The index finger and middle finger of the model should be fairly similar in length on a typical hand, however they would be measured and return a result that has the index finger being atleast half the size purely because of the angle at which we’re capturing the hand at. imread() and assign zeros to the 2D array corresponding to blue channel. Welcome to a foreground extraction tutorial with OpenCV and Python. C++ and Python Professional Handbooks : A platform for C++ and Python Engineers, where they can contribute their C++ and Python experience along with tips and tricks. The OpenCV Visual Studio project will be used later to build the OpenCV library together with the extra modules. Select the correct package for your environment:. Finding blocks of text in an image using Python, OpenCV and numpy As part of an ongoing project with the New York Public Library, I've been attempting to OCR the text on the back of the Milstein Collection images. This works already and it works well using the OpenCV Highgui interface, their drawing functions, etc. Image Denoising in OpenCV. imshow(window_name, cv_img). I would guess that your Mat back isnt proper initialized, but as I read it is another problem. Tutorial about how to convert image to text using Java + OpenCv + OCR (tesseract ocr - tess4j). Simple video stabilization using OpenCV. The library, Open-Source Computer Vision, has a massive community and has been used extensively in many fields, from face detection to interactive art. From the list of widgets on the left of the designer, drag in a label and two pushbutton widgets. NET, another very decent. We will deal with Histograms. There will be a lot of lighting variations in the images I need to process, and I've read that using the HSV color model would be more robust against lighting variations, but I'm not sure where to go from there. Watermarking images with OpenCV and Python. Chance is large that the same patch may be somewhere else in the image. bwareaopen Binary area open; remove small objects Syntax BW2 = bwareaopen(BW,P) Description BW2 = bwareaopen(BW,P) removes from a binary image all connected. Train a classifier. In this example, we will remove the red channel from the following image. In the above image, I have shown the pixel values for a grayscale image where every pixel contains. In this tutorial, we shall demonstrate you how to extract texts from any image in python. image_to_string(Image. Python Remove Green Channel from Color Image; Python Remove Blue Channel from Color Image; Python Remove Red Channel from Color Image; Python Convert Image to Black and White (Binary) Python OpenCV cv2 Find Contours in Image; Python OpenCV Tutorial - Examples & Programs; Python OpenCV CV2 - Capture Video from Camera; Python OpenCV - Add or. OpenCV together with React Native enables you to process images on mobile devices (most likely you'd like to process images taken by your device's camera). Process bitmaps with OpenCV. OpenCV get pixel channel value from Mat image. The code work well when I stitched using only two of your images, but gave the following errors when used more than 2 image. So, here is a very simple program with basically the same result. How to disable Initialization of JPA Conditionaliy next: Get value based on max of a different column grouped by another column [duplicate]. note: Removing the background of a photo or making the background transparent to show just a part of the photo is not yet a supported feature. > I´m performing some operations and after them I´m using the Hough transform > to detect circles, and after detect them,I draw them in the image. In this post: Python extract text from image Python OCR(Optical Character Recognition) for PDF Python extract text from multiple images in folder How to improve the OCR results Python's binding pytesseract for tesserct-ocr is extracting text from image or PDF with great success: str = pytesseract. Through my findings, as far as I remember. C++ and Python Professional Handbooks : A platform for C++ and Python Engineers, where they can contribute their C++ and Python experience along with tips and tricks. Accumulate the transformations to get the “trajectory” for x, y, angle, at each frame. I think there is a bug with Codacy. The sources of edges in the image are the borders and the text. x installed on your system. Threshold that new image; bitwise_or the result of the threshold; My problem is that any black text on the curved white line inside this circle didn’t appear. Arkwood was still hesitant about using the VR headset though. , "deskewing text") using OpenCV and image processing functions. I have been working on an OCR project for business cards using opencv in python. Finding blocks of text in an image using Python, OpenCV and numpy As part of an ongoing project with the New York Public Library, I've been attempting to OCR the text on the back of the Milstein Collection images. OpenCV - Change detection or background subtraction. imread(original_image_path) # Find that face. This site uses cookies for analytics, personalized content and ads. This is the half containing text and I labeled each image as a 1. Anyway, thanks for the tutorial :) Reply Delete. Dataset: Do you have a good dataset to work with? Though good is a subjective term, it can be further broken down into questions like number of samples, object of int. If you haven't yet installed OpenCV, you can check here how to do it. Tracking colored objects in OpenCV If you're new to image processing, you'll enjoy this project. Tutorial: Making Road Traffic Counting App based on Computer Vision and OpenCV. OpenCV is an open source computer vision and machine learning software library that makes possible to process images and to do face tracking, face detection, shape detection and other cool stuff. To get started, we'll need a watermark, which for the purposes of this tutorial, I've chosen to be the PyImageSearch logo:. Tutorial about how to convert image to text using Java + OpenCv + OCR (tesseract ocr - tess4j). For doing so we are going to use OpenCV. Launch the CMake application and specify the source and build directory. Face Detection using OpenCV. Next I figure out that since I installed from compiling opencv from the source and used. In the above sample you may have noticed saturate cast operator, and thats how all the pixel processing is done in OpenCV. If you haven’t yet installed OpenCV, you can check here how to do it. In this example, we will remove the red channel from the following image. The drawing functions process each channel independently and do not depend on the channel order or even on the used color space. Here is a quick overview of how I installed OpenCV on my Raspberry Pi with debian6-19-04-2012. Remove image background and shadows. Gesture Recognition using OpenCV + Python Saturday, March 21, 2015 This python script can be used to analyse hand gestures by contour detection and convex hull of palm region using OpenCV, a library used fo. Override the drawing process (OnPaint for a dialog and OnDraw for a view) and call OpenCV's drawing functions. Test the accuracy. However, with the introduction of the cheap pinhole cameras in the late 20th century, they became a common occurrence in our everyday life. ttf) and digit height. Session 23: OpenCV – Histogram Equalization ——————————————-Then we will make use of Histogram Equalization to equalize the image to remove the rough edges of the image to equalize the color, the contrast of. OpenCV 3 Tutorial image & video processing Installing on Ubuntu 13 Mat(rix) object (Image Container) Creating Mat objects The core : Image - load, convert, and save Smoothing Filters A - Average, Gaussian Smoothing Filters B - Median, Bilateral OpenCV 3 image and video processing with Python OpenCV 3 with Python Image - OpenCV BGR : Matplotlib RGB. How to remove text region in a document image? Given an document image (i. Apply image filters (auto-enhance) Apply watermarks (alpha layers) Extract images from animated gifs Extract image metadata Draw text for annotations (and shapes) Basically script things that you might do in Photoshop or GIMP for large numbers of images, in Python Modules: ImageOps ImageMath ImageFilter ImageEnhance. In this tutorial, we will learn how to add text watermark to an image in C++ using OpenCV. Every component of your image have certain height and width. Through my findings, as far as I remember. There are multiple aspects. Threshold that new image; bitwise_or the result of the threshold; My problem is that any black text on the curved white line inside this circle didn’t appear. Learn how to extract text from a file folder, PDF, screenshot or image without spending time retyping the text. Create a new transformation such that new_transformation =. flip() method flips the image or mirrors it. I am wondering how to use Tesseract (pytesseract) on text image with multiple languages? For example a foreign language lessons book contains instructions in the native language and examples in the foreign one. In the image above, the dark connected regions are blobs, and the goal of blob detection is to identify and mark these regions. If you haven't yet installed OpenCV, you can check here how to do it. Blob Detection With Python and OpenCV In my previous post, I described how to set up Python and OpenCV on your computer. If we do not wish to use the OpenCV manager, we can have the functions present natively, but the APK size then increases significantly. x in a way different from the example I…. org/wiki/Connected. Simple video stabilization using OpenCV. please help me out for my dissertation Reply Delete. I want to try in IOS but when I take build many errors are coming. Net wrapper to the OpenCV image processing library. In order to use ROS with OpenCV, please see the cv_bridge package. we will use Closing to remove gaps in areas, then Opening to remove 1-2 px points. ui file, this file could be edited manually but for this tutorial we would use the designer. Part 1 set-up Azure Databricks and then used OpenCV for image comparison. Watermarking images with OpenCV and Python. IMREAD_COLOR : Loads a color image. In the above image, I have shown the pixel values for a grayscale image where every pixel contains. This article will assume you have Python 3. OpenCV provides a convenient way to detect blobs and filter them based on different characteristics. Then loaded that mask image in OpenCV, edited original mask image we got with corresponding values in newly added mask image. Cheat sheets and many video examples and tutorials step by step. don’t forget OpenCV stores things internally as BGR not RGB. Identification of the different connected components in an image. Also while displaying the frame, use appropriate time for cv2. OpenCV can be used to render text on an image buffer using the putText function. From Emgu CV: OpenCV in. Create an image with black background and letters in white and apply Erosion and Dilation using OpenCV functions. Today's tutorial is a Python implementation of my favorite blog post by Félix Abecassis on the process of text skew correction (i. If you have ever wondered how to process your images using OpenCV with React Native, then you're in the right place. Although we do not do any image processing, we do use OpenCV structures to be ready for the next step (processing). Check out the example below. If it is too less, video will be very fast and if it is too high, video will be slow (Well, that is how you can display videos in slow motion). waitKey (0) # Wait indefinitely for the user to press a key cv2. Installation and Usage. OpenCV together with React Native enables you to process images on mobile devices (most likely you'd like to process images taken by your device's camera). ) and the position. don’t forget OpenCV stores things internally as BGR not RGB. It will make all the files. Remove Background from an image. imread() and assign zeros to the 2D array corresponding to red channel. If you open it, you will see 20000 lines which may, on first sight, look like garbage. It may be:. We will learn how you can analyze a Historam to tell the nature of that image. The text file listing the training image files has the new images added to it, and the images are stored as image files on the computer, so online training works just like it did in offline training. text = pytesseract. As the name implies, morphological operations are the set of operations that process images according to their shapes. This article explains how to use the SoftwareBitmap class, which is used by many different UWP APIs to represent images, with the Open Source Computer Vision Library (OpenCV), an open source, native code library that provides a wide variety of image processing algorithms. # Apply dilation and erosion to remove some noise importcv2print"Read image with opencv. Expand your applications beyond just people counting with the added resources of Ubidots IoT Development Platform. If you are a software developer with a basic understanding of computer vision and image processing and want to develop interesting computer vision applications with OpenCV, Learn OpenCV 4 by Building Projects for you. ttf) and digit height. You can also see that the second image shown is pretty blurred and not well illuminated. OpenCV on Wheels. can anybody tell me how to measure a image noise in java? i want to remove the Guassian noise and poission noise from a image can any one share the tried code. OpenCV is used for all sorts of image and video analysis, like facial recognition and detection, license plate reading, photo editing, advanced robotic vision, optical character recognition, and a whole lot more. As well as python we also use the OpenCV 3. In most situations, on the binary image we will need to open and close the image to remove small noise pixels and fill small holes. If you open it, you will see 20000 lines which may, on first sight, look like garbage. I note only that used here Mat Is the universal entity OpenCV, representing a matrix with elements of a certain type (MatType) and with a certain number of. To write text on image with OpenCV library of Python, use putText() method. Ask Question Asked 9 months ago. The usage of putText() function is provided in the following example. OpenCV with Qt C++ Examples (Showing Image) How to Call. We can enhance the accuracy of the output by fine tuning the parameters but the objective is to show text extraction. I am trying to remove the background such that I only have car in the resulting image. Extracting a particular object from image using OpenCV can be done very easily. Using OpenCV in your ROS code. Chat Support Available. How can I remove the lines in the scanned document images without affecting text details? remove them, and all the rest is text, more ower you can define what text is writen in what cell. The first step towards reading a video file is to create a VideoCapture object. OpenCV is used for all sorts of image and video analysis, like facial recognition and detection, license plate reading, photo editing, advanced robotic vision, optical character recognition, and a whole lot more. zeros for the background and then combine the mask and the image using the bitwise_and operator. Process bitmaps with OpenCV. In this tutorial we will check how to read an image and convert it to gray scale, using OpenCV and Python. Tutorial about how to convert image to text using Java + OpenCv + OCR (tesseract ocr - tess4j). Hello: I don´t know because the image , on visual studio 2005 windows vista 64bits, i follow the respective configuration steps for the openCV library and I create a empty project , then i crete a file whit the next code, the compilation is perfect but when i execute don´t appear the image only the console and a gray window:. This might be done in any of the two procedures. The Computer Vision System Toolbox OpenCV Interface enables you to bring existing OpenCV files and projects into MATLAB using MEX. Getting started with opencv Remarks. So idea is simple, we need a set of similar images to average out the noise. If it is too less, video will be very fast and if it is too high, video will be slow (Well, that is how you can display videos in slow motion). In this tutorial, we will learn how to add text watermark to an image in C++ using OpenCV. png') mask = cv2. Based on the given input image a "structural element" is developed. It is assumed that image only has one object. Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3About This Book Get to grips with the basics of Computer Vision and image processing This is a step-by-step guide to developing several real-world Computer Vision projects using OpenCV 3 This book takes a special focus on working with Tesseract OCR, a free, open-source. imshow function. x, the name of the package to import is still cv2: >>> >>>. Here, instead of images, OpenCV comes with a data file, letter-recognition. I've been using the app since few months and the best thing about the app I like is its perspective transformation i. Setup opencv, tesseract ocr, import these libraries to java project. Next I figure out that since I installed from compiling opencv from the source and used. Finding blocks of text in an image using Python, OpenCV and numpy As part of an ongoing project with the New York Public Library, I've been attempting to OCR the text on the back of the Milstein Collection images. for f in faces: x, y, w, h = [ v for v in f ] Once we have each vertex, we can draw a triangle. As well as python we also use the OpenCV 3. Simple video stabilization using OpenCV. So idea is simple, we need a set of similar images to average out the noise. Equation OCR Tutorial Part 1: Using contours to extract characters in OpenCV Categories Computer Vision , Uncategorized January 10, 2013 I’ll be doing a series on using OpenCV and Tesseract to take a scanned image of an equation and be able to read it in and graph it and give related data. Another way to read in the images of dataset could be to store the paths of all files in a text file and parse then parse the text file. Is it possible to set single threshold which removes noise from all images by doing some pre processing ?. ) and the position. Get acquainted with important deep learning tools for image classification; Who this book is for. Today's tutorial is a Python implementation of my favorite blog post by Félix Abecassis on the process of text skew correction (i. Try this Code for Get text from Image Note:If you using gif image this code convert to jpg and after executed and if you not using jpg please skip the convert jpg step from this code. You can also see that the second image shown is pretty blurred and not well illuminated. The usage of putText() function is provided in the following example. To write text on image with OpenCV library of Python, use putText() method. Simple and effective coin segmentation using Python and OpenCV Posted on 22/06/2014 by Christian S.