MATLAB Central File Exchange.Code implementing the Chan-Vese segmentation algorithm in C++ and Matlab. Feel free to create a PR or an issue. We can accomplish this by using our thresh image and counting the number of non-zero pixels (i.e., foreground pixels) in each bubble region: Line 98 handles looping over each of the sorted bubbles in the row. Road-Network-Extraction using classical Image processing-> blur & canny edge detection; SPIN_RoadMapper-> Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving; road_extraction_remote_sensing-> pytorch implementation, CVPR2018 DeepGlobe Road Extraction Challenge submission. You need to provide the image command line argument to the script. They are very easy to work with. While I love hearing from readers, a couple years ago I made the tough decision to no longer offer 1:1 help over blog post comments. It sets two thresholds, a high and a low threshold. ?.plz sir tell me. It is based on CImg, a C++ library by David Tschumperl. would the algorithm still work but with wrong results? This step starts with binarization, or the process of thresholding/segmenting the foreground from the background of the image: After applying Otsus thresholding method, our exam is now a binary image: Notice how the background of the image is black, while the foreground is white. You can read more about contour approximation in this post on building a mobile document scanner. you can design any form in the world. It sounds like your document contour region was not properly found. In image, bubbles are somewhere near to rectangle where student can write manually their roll number because after thresolding bubbles get touched to rectangle. The Scantron software is normally pretty good at recognizing partially filled in bubbles, but you should really take the time to fill in bubbles fully when you take an exam. This method assumes that the document has 4 vertices. The best way to diagnose this issue would be to see what your thresh image looks like. WebThis technique border detection model is based on the implemented of is visually demonstrated in Fig. If so, how where would I edit the code to disregard these fill-in-the-blank questions? However, since we determine if a particular bubble is filled in simply by counting the number of thresholded pixels in a row and then sorting in descending order, this can lead to two problems: Luckily, detecting and handling of these issues isnt terribly challenging, we just need to insert a bit of logic. MATLAB's gradient boosting supports a few splitting criteria, including RUSboost that handles imbalanced data sets. Taking pictures is just a matter of click so why playing around with it should be more than few lines of code. If so, we can invalidate the question and mark the question as incorrect. I hope you understand. If you prefer the latest development version, see our Github page. Thanks! Made this a long time ago for android, when I used to give a cocktail party on every Friday the 13th. what if the candidate marked one bubble, realised its wrong, crossed it out, and marked another? [y, grad] = dlfeval (@gradFun,x); y = extractdata (y); Define the sample points at which to display the gradient. If youre new to command line arguments you need to read this post first. If the test taker is correct, well highlight their answer in green. Can you be more descriptive of what you mean by it doesnt work? 4. DotProduct: Compute the pixel-wise dot product of two vector images. Sure, you can absolutely save the output to a CSV file. If a pixel value is greater than a threshold value, it is assigned a specific value (e.g. To learn more about utilizing computer vision, image processing, and OpenCV to automatically grade bubble test sheets, keep reading. OS X users need to install XQuartz: https://www.xquartz.org/. reduce size by 3 %, we increase the chance of a matching size with the model for detection is found, while it's expensive. canny edge detection matlab; secretariat death photos; verilog language; Quoting the snip: In the old pattern, machine read sheets, were additional black marks placed at equal increments running throughout the length of the sheet on either side or on both sides. See the formula below. We also initialize a bookkeeper variable to keep track of the number of correct answers. 2 python test_grader.py image images/test_mobile.jpeg, It seems that it comes from This helps me to consider things I may have not yet considered about the specific tutorial and also provides me with some laughs when I read the ridiculous things some people request (hey, youve done all this work in providing me with a great free tutorial, can you now also port this code to Java and make it production ready for my commercial endeavour? Hi Adrian, The image i have given as input have 4 corners visible. http://imgur.com/a/xWhJA. i upgraded the code: Join me in computer vision mastery. R is a bit lacking in the area of image processing, where Matlab is still king. Then you could look for contours in the rest of the area. Note this function is superseded by phasecong2.m and phasecong3.m and is only here for reference. To determine which regions of the image are bubbles, we first loop over each of the individual contours (Line 70). Hey Nic while Im happy to help point readers like yourself in the write direction, I cannot write code for you. Hey Adrian, Convert the image to grayscale. However, not all our results are WebApril 7th, 2018 - Edge Detection Matlab Search And Download Edge Detection Matlab Open Source Project Source Codes From CodeForge Com '' MATLAB Code For Edge Detection By SOBEL Method Blogger April 23rd, 2018 - very nice sir Its running Please provide matlab code for edge detection method by some other method. Easy one-click downloads for code, datasets, pre-trained models, etc. WebR is a bit lacking in the area of image processing, where Matlab is still king. but how the `vertical strip of black markers` is helpful to detect circles/elipses in the image. The tutorial covers basic image manipulation, plotting use base graphics and ggplot2, getting image data in and out, and an example of multiscale blob detection. You might find CImgs doc useful as well. Get 247 customer support help when you place a homework help service order with us. output image must be like https://i.stack.imgur.com/rqgsY.png. Hi, why is line 37 missing a [:5] that is used in line 39 from this tutorial (https://pyimagesearch.com/2014/09/01/build-kick-ass-mobile-document-scanner-just-5-minutes/?unapproved=780164&moderation-hash=991ffcf2628cbb178e6d10593ed034fe&submitted_comment=1#comment-780164)? B. Later in this lesson, youll also find additional sample exams. Any idea how to use multiple columns and read it correctly? But our instructor asked why I do this system if there is a machine in store. You can download the code + example images to this post by using the Downloads form above. Google Play code generator is straightforward and permitted to work well with tool. After that, it detects the edge of the object in the image using Canny edge detection. In some example sheets I have seen that 4 squares in the corners are used, but I dont understand how could that determine the right orientation. giving me only one counter as a result only one question is being identified. The. why is this happening and how can i get over it.? hi, can anyone can tell me this code is patent? In addition to the edges, you see that the Laplacian and Sobel filters are also able to detect the level of gradients across a gray scale. Then extract each of the boxes and process the bubbles in each box. Are you referring to contour sorting? I believe that the SATs use the software provided by Scantron to perform OMR and grade student exams, but I could easily be wrong there. If I photograph the test with the flash on, the reflective properties of the graphite result in higher pixel values which in turn break the thresholding step and results in some of the filled in circles being interpreted as empty, especially the circles located directly under the lens of the camera because much of the light bounces directly back We know that the 5 bubbles for each question will appear sequentially in our list but we do not know whether these bubbles will be sorted from left-to-right. (Source Code) AGPL-3.0 Docker/Nodejs; Ombi - A content request system for Plex/Emby, connects to SickRage, CouchPotato, Sonarr, with a growing feature set. 1 Take a picture with mobile phone => test_mobile.jpeg The algorithm in this post does not use any machine learning. 10. As you can see, we have successfully computed the size of each object in an our image our business card is correctly reported as 3.5in x 2in.Similarly, our nickel is accurately described as 0.8in x 0.8in.. Microsoft is not pulling its punches with UK regulators. Ill try to bump it up, but please keep in mind that I am very busy and cannot accommodate every single tutorial request in a timely manner. IPCV Scilab Image Processing & Computer Vision, a module of Image Processing and Computer Vision Toolbox for Scilab 6.0. Here youll learn how to successfully and confidently apply computer vision to your work, research, and projects. However, if the test taker made a mistake and marked an incorrect answer, well let them know by highlighting the correct answer in red: Finally, our last code block handles scoring the exam and displaying the results to our screen: Below you can see the output of our fully graded example image: In this case, the reader obtained an 80% on the exam. 2022. WebWe would like to show you a description here but the site wont allow us. I just tried to put mark inside the circles while I was answering. 1. Each question on the exam is a multiple choice and you use a #2 pencil to mark the bubble that corresponds to the correct answer. example of such a sheet is here Once i scan form which is based on OMR i need to extract those information. i am not able to deskew it because of barcode in side that. 6. To use 2D features, you need to select the menu command Plugins Segmentation Trainable Weka Segmentation.For 3D features, call the plugin under Plugins Segmentation Trainable Weka Segmentation 3D.Both commands will use the same GUI but offer different feature I did up to finding thresh and got a really nice clear picture. so, it cant find circle. What can I do to detect the four anchor points and transform the paper incase it rotates? 5. B. In MATLAB the intensity values of the pixels are 8 bit and range from 0 to 255. What are your thoughts on that? best regards. I was able to detect few more bubbles using RETR_EXTERNAL. Histogram of Oriented Gradients, also known as HOG, is a feature descriptor like the Canny Edge Detector, SIFT (Scale Invariant and Feature Transform) . Point Processing in Image Processing using Python-OpenCV. Below I have included a screenshot of our exam after applying edge detection: Notice how the edges of the document are clearly defined, with all four vertices of the exam being present in the image. You can use the PyImageSearch contact form to get in contact with me. Place the paper on a background with higher contrast and the edges will easily be found. Then, using cv2.threshold() function, the image is converted to a binary image. Below I have included an example image that demonstrates the docCnt variable being drawn on the original image: Sure enough, this area corresponds to the outline of the exam. You can use contours to find each of the boxes in the sheet. The picture of thresh seems to have very clear boundaries of bubble. Follow answered Sep 3 , 2015 at 14:53 silver badges 84 84 bronze badges. I proposed this project to our design project/thesis project. Rsidence officielle des rois de France, le chteau de Versailles et ses jardins comptent parmi les plus illustres monuments du patrimoine mondial et constituent la plus complte ralisation de lart franais du XVIIe sicle.. Vector with respect to which you find gradient vector, specified as a symbolic vector. This function also returns a feature type image. WebTrainable Weka Segmentation runs on any 2D or 3D image (grayscale or color). Hey, Adrian Rosebrock here, author and creator of PyImageSearch. R is a bit lacking in the area of image processing, where Matlab is still king. Browse our listings to find jobs in Germany for expats, including jobs for English speakers or those in your native language. WebR is a bit lacking in the area of image processing, where Matlab is still king. Translate Report _Nelson_Maldonado_ AUTHOR. We always had a quiz, which took more than an hour to grade, so I made an app for it! Is there any rough idea which can help me to sort out it? usage: test_grader.py [-h] -i IMAGE Calculate the function value and gradient at each sample point. When i used for my perspective transformation, it only detects highest rectangle contour. Hough circles dont handle deformations in their outlines very well your circle detection would totally fail in that case. Can you provide a code that can allow this code to run directly on a python compiler rather than running the program on cmd. [___] = gradient (a, h): This syntax returns the gradient with the number of spacing points mentioned in the input argument h which can be used in any direction. Specify the target axes or chart as the first argument in any of the previous syntaxes. Imager aims to make image processing work in R easier. What about second and third issue? For a. Mri phase unwrapping matlab. I hope you can consider my request since this is related for my school work. hello.. in need of your help. Many functions are described in the general package documentation. Figure 2: Measuring the size of objects in an image using OpenCV, Python, and computer vision + image processing techniques. Brand new courses released every month, ensuring you can keep up with state-of-the-art techniques Picture source: Viola-Jones Face Detection This scale factor is used to create scale pyramid as shown in the picture. Remove the white pixels along the boundaries and your script should work okay. edged = cv2.Canny(blurred, 100, 200), 3 add instruction to check it: cv2.imshow(edged, edged), # then we can assume we have found the paper. Feel free to create a PR or an issue. Histogram of Oriented Gradients, also known as HOG, is a feature descriptor like the Canny Edge Detector, SIFT (Scale Invariant and Feature Transform) . will this system still work? Theres a tutorial included in the package: hit. I only make note of this because Scantron is used in over 98% of all US school districts. DotProduct: Compute the pixel-wise dot product of two vector images. 2022. My name is Otis Olifant from an agency in South Africa called SPACE Grow Media. If this is confusing, Id love to share with you my code and some images I generated to give you a more clear picture of whats going on. Edge detectioniiiiiiiv Please read up on command line arguments before continuing. And for using RETR_EXTERNAL instead of RETR_TREE when processing warp, thank you for the suggestion. One question though. Hello Adrian, This next code block handles looking up the correct answer in the ANSWER_KEY , updating any relevant bookkeeper variables, and finally drawing the marked bubble on our image: Based on whether the test taker was correct or incorrect yields which color is drawn on the exam. When my input is the original image of yours, which is without any bubble has been filled, it doesnt work. I was looking for an answer to the same doubt for long. added dropdown to selected answer key. Hi there, Im Adrian Rosebrock, PhD. Could you elaborate? I understand, but what If the paper is cropped being rotated without border of the paper? Once you have the column and row of each mark, you just need normal code to interpret which question and answer this represents. But how do we go about actually grading the document? The sort contour call on Line 94 takes care of this issue and ensures each row of contours are sorted into rows, from left-to-right. If you have any questions, please feel free to leave a comment in the comments section! gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) Canny edge detection is a image processing method used to detect edges in an image while suppressing noise. Obtaining this silhouette of the document is extremely important in our next step as we will use it as a marker to apply a perspective transform To install imutils (or upgrade to the latest version), just execute the following command: Lines 10-12 parse our command line arguments. You can use the Downloads section at the bottom of this post to download the code, example images, and template file. Hi. Seems like scantron has a monopoly on this. I want to create hybrid android and ios app which can scan bubble sheet by taking pictures but Im not familiar with hybrid app development. The goal of this blog post is to build a bubble sheet scanner and test grader using Python and OpenCV. For each of these contours, we compute the bounding box (Line 73), which also allows us to compute the aspect ratio, or more simply, the ratio of the width to the height (Line 74). Please show me. WebCanny edge detection is a image processing method used to detect edges in an image while suppressing noise. You will learn a lot more that way. Image splitting, simplification and recursive data structures. I would like to focus on python for developing a project same on this one, Ive ask many experts and python was the first thing they recommended since it can create many projects and provides many support on many platforms unlike java. On Linux these should be available from standard repositories (ie. In my case, Image contain 4 reference rectangle which is base for image deskewing. (Pull Request is preferred) Outline. cls programs in california. CannyJohn F. Canny1986..Canny:Graying In the current implementation, we (naively) assume that a reader has filled in one and only one bubble per question row. Canny edge detection method. If you can detect that marker you can rotate it such that the orientation is the same for all input images. Instead, my goal is to do the most good for the computer vision, deep learning, and OpenCV community at large by focusing my time on authoring high-quality blog posts, tutorials, and books/courses. If you're serious about learning computer vision, your next stop should be PyImageSearch University, the most comprehensive computer vision, deep learning, and OpenCV course online today. Hi, Be sufficiently wide and tall (in this case, at least 20 pixels in both dimensions). You signed in with another tab or window. WebBest Custom Writing Services. Im really enjoying these tutorials! Its meant to be educational, not necessarily a professional application. In the remainder of this blog post, Ill discuss what exactly Optical Mark Recognition (OMR) is. All the vbm systems Im aware of use paper ballots with fill-in-the-oval marking (*not* circles) that are run through optical scanners for counting. As a second example, consider a key of 1 that maps to a value of 4 this would indicate that the answer to the second question is E. . paddle.nn.LayerAPI. Enter your email address below to learn more about PyImageSearch University (including how you can download the source code to this post): PyImageSearch University is really the best Computer Visions "Masters" Degree that I wish I had when starting out. On Line 90 we start looping over our questions. And while Ive been having a lot of fun doing this series on machine learning and deep learning, Id be lying if I said this little mini-project wasnt a short, welcome break. The underbanked represented 14% of U.S. households, or 18. Thank you. 9. I would suggest using more contour filtering. Specify the return. ). In short, what Im trying to say is that there is a massive market for Optical Mark Recognition and the ability to grade and interpret human-marked forms and exams. Read my tutorial on command line arguments and youll be all set , hello sir .. how to matching image on omr sheets paper ,,, but this project u was set the answer key in source code right .. pls give me the solution ,,, thanks. Dear sir I have install imutils but I am still facing ImportError: No module named imutils' kingly guide me. reduce size by 3 %, we increase the chance of a matching size with the model for detection is found, while it's expensive. (cnts, _) = cv2.findContours(warp.copy(),cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE) The next step is to learn about pixsets, which are used to represent sets of pixels (e.g., the foreground in an image). Get your FREE 17 page Computer Vision, OpenCV, and Deep Learning Resource Guide PDF. Thank you for your patience. In my implementation I found it helpful to choose a threshold ratio instead of a specific value and multiple that by the max pixel value in the image. help=path to the input image). For Android, Java + OpenCV. If youre building for iOS, you would want to use Swift/Objective-C + OpenCV. I dont have a test image for this but you can update the code to sort the bubbles based on how filled in they are and keep the two bubbles with the largest filled in values. If nothing happens, download GitHub Desktop and try again. Examples collapse all. The original flywheel data was processed through a self-developed, Rsidence officielle des rois de France, le chteau de Versailles et ses jardins comptent parmi les plus illustres monuments du patrimoine mondial et constituent la plus complte ralisation de lart franais du XVIIe sicle.. Pixels with a high value are most likely to be edges. Could you please explain how you get a so well defined contour ? just want to ask, will it work if i use squares instead of circles? 6. Ive discussed extensions to handle partially filled in bubbles or no bubbles filled in either. [__] = gradient (a, hb, hc, hd, he.hn): This syntax returns n number of spacing points in every dimension as given in a. I had to add break in line 125 and de-indent line 127 to get proper score and still draw the circles after the break. Canny edge detection method. 60+ total classes 64+ hours of on demand video Last updated: Dec 2022 Without knowing the error, neither myself nor any other PyImageSearch reader can help. ✓ Run all code examples in your web browser works on Windows, macOS, and Linux (no dev environment configuration required! CImg provides an easy-to-use and consistent API for image processing, which imager largely replicates. Both implementations can be found on my github. Edge detection related dataset; Deep-learning based approaches. To see our bubble sheet test grader in action, be sure to download the source code and example images to this post using the Downloads section at the bottom of the tutorial. Im not expert, but Id have to guess that at least 1 in every 20 marks a test taker fills in is slightly outside the lines. They also marked A for all answers. It is used in computer vision and image processing for the purpose of object detection. If you are using a Python virtual environment, access it first and then install imutils via pip: Can this also work with many items in the exam like 50 or 100? Deprecated: phasecong.m Original code for calculating phase congruency in an image. the code now capturing the image from laptop camera. Draw the gradient and apply a blur until you don't see banding anymore. Examples of Matlab Gradient. I think I see the issue. could u please tell the code about how did u draw the output of questionCnts on image. As you can see, we have successfully computed the size of each object in an our image our business card is correctly reported as 3.5in x 2in.Similarly, our nickel is accurately described as 0.8in x 0.8in.. That course will teach you computer vision methods that can be used to complete your project. My main concern was the amount of work it goes into making one work right without errors and the demand didnt seem to be there. do you guys have links to tutorials or blogs that I can follow to develop the same bubble sheet scanner for android? Abdelsamea (2022). I have also included a blank exam template as a .PSD (Photoshop) file so you can modify it as you see fit. 6. result for y3 = smooth(y2, 15), using @Junuxx code: Share. automate the boring stuff with python 2nd edition pdf github. We would like to show you a description here but the site wont allow us. You may want to try Tesseract for OCR and then look at the Google Vision API. Im not sure what you mean by giving me only one contour as a result. when i show your edged image with test_01.png, we have a high quality of contour. Perhaps it comes as no surprise that the user scored a pitiful 20% on the exam, based entirely on luck: This time the reader did a little better, scoring a 60%: In this particular example, the reader simply marked all answers along a diagonal: Unfortunately for the test taker, this strategy didnt pay off very well. WebPerform Canny edge detection on an image. Edges come from the boundary of annotated segmentation mask. the system gives me a traceback error while installing imutils. On Line 90 you would change the 5 to a 4. sign in 4. Following a bumpy launch week that saw frequent server trouble and bloated player queues, Blizzard has announced that over 25 million Overwatch 2 players have logged on in its first 10 days. how they work to skip this part or they are just selling their software without any permission or they work with fair use? Pre-configured Jupyter Notebooks in Google Colab Since in the expample it only showed 5 questions, I want to expand it to say 15 to 20 per page. WebBest Custom Writing Services. For example, if you place a white piece of paper on a white countertop, there is going to be very little contrast and it will be hard for the edge detection algorithm to find the outlines of the paper. Hi Adrian, following your tutorial of multiple-choice bubble sheet scanner and test evaluator using OMR, Python and OpenCV, I want to do a job almost similar to yours; Perform a Gaussian blur on the image. You might also choose a low threshold of 0.3, this means that all pixels less than it is not an edge and you would set it to 0. ExtractComponents: Extract components of an image. We only need a single switch here, --image , which is the path to the input bubble sheet test image that we are going to grade for correctness. Histogram of Oriented Gradients, also known as HOG, is a feature descriptor like the Canny Edge Detector, SIFT (Scale Invariant and Feature Transform) . Arguably, the most famous, easily recognizable form of OMR are bubble sheet multiple choice tests, not unlike the ones you took in elementary school, middle school, or even high school. A threshold value is applied. Deprecated: phasecong2.m Phase congruency code that combines edge and corner detection, and agd.funcStr='x^2+2*x*y+3*y^2+4*x+5*y+6'; This is the function used to generate the animation GIF of the contour plot above. 5. to use Codespaces. Because of the current Covid pandemic, theres a lot of discussion of vote-by-mail in places that have never considered it (I live in a state thats already vote-by-mail). Matlab | Edge Detection of an image without using in-built function. If v is a scalar, gradient(f,v) = diff(f,v).If v is an empty symbolic object, such as sym([]), then gradient returns an empty symbolic object. Suppose, the scale factor is 1.03, it means we're using a small step for resizing, i.e. 7. This strip of black marks is called a timeline which helps the OMR machine to identify the next row of bubbles, Ref link: https://www.addmengroup.com/Downloads/Addmen-OMR-Sheet-Design-Guide.pdf, Hello Adrian I wanted to ask you how can you expand this to include more questions per page? paper = four_point_transform(image, docCnt.reshape(4, 2)) Applies a perspective transform to the region. After going through this tutorial, you might be wondering: Hey Adrian, an answer bubble is a circle. -> same result, edged dont have paper contour well defined as your image. As you can see, we have successfully computed the size of each object in an our image our business card is correctly reported as 3.5in x 2in.Similarly, our nickel is accurately described as 0.8in x 0.8in.. As I mentioned, Ive added it to my queue. Edge detectioniiiiiiiv Feel free to create a PR or an issue. Figure 2: Applying edge detection to our exam neatly reveals the outlines of the paper. Inside youll find our hand-picked tutorials, books, courses, and libraries to help you master CV and DL. The assumption is that you always use pencils for these types of exams. The technique counts occurrences of gradient orientation in the localized portion of an image. / Githubhttps://github.com/MarkMoHR/Awesome-Edge-Detection-Papers ()1. At this stage imager contains over 100 functions, and covers all the classics: imager aims to be fast (doing things in C++ as much as possible), but also R-friendly, and defines many convenience functions that make it easy to work with native R datatypes and functions. You should already have OpenCV and Numpy installed on your system, but you might not have the most recent version of imutils, my set of convenience functions to make performing basic image processing operations easier. I am developing Application in android and struggling with few points. Save, place the image in ID. vinyl records value today failed to load resource the server responded with a status of 404 github pages 2022 cirrus sr22t for sale. One of my favorite parts of running the PyImageSearch blog is demonstrating how to build actual solutions to problems using computer vision. To start, tuning the parameters to Hough circles on an image-to-image basis can be a real pain. Will the scantron be able to read them? It looks like the marks on the right side of the paper are aligned with the target areas. All too often I see developers, students, and researchers wasting their time, studying the wrong things, and generally struggling to get started with Computer Vision, Deep Learning, and OpenCV. I plan on making it to the end of the tutorial without changing too much but I may require assistance and I would be delighted if you would be able to help. Bugs and miscellaneous problems can be reported on the issues page on Github. A similar set of steps can be applied to issue #2, where a user marks multiple bubbles as correct for a single question: Again, all we need to do is apply our thresholding and count step, this time keeping track if there are multiple bubbles that have a total that exceeds some pre-defined value. It doesnt seem to matter what is shown to it. The MATLAB code can be found on my github: Computer Vision Projects. The underbanked represented 14% of U.S. households, or 18. Hey Manas, I would recommend that you try the code and see. How to resolve uneven division issue? Of course, Ill be providing lots of visual example images along the way so you can understand exactly what techniques Im applying and why Im using them. After that, it detects the edge of the object in the image using Canny edge detection. Im trying to identify crosses in the check-boxes using similar approach, the problem Im having is the mask becomes hollow box instead of the type we obtain here which is just the outline of the bubble (The reason for this is the bubble have alphabet inside and checkbox is completely blank). (Source Code) AGPL-3.0 Docker/Nodejs; Ombi - A content request system for Plex/Emby, connects to SickRage, CouchPotato, Sonarr, with a growing feature set. As i am building commercial s/w, i can not provide real images here only. I was wondering if you encountered similar problems while writing the tutorial, and if there are any additional steps, aside from fine tuning the thresholding/masking, to deal with this kind of noise that generalize well to different images, i.e. i have some questions to about Indian softwares like OMR Home and admin OMR, they are selling their solutions but Scantron OMR scanners even scanning Techniques are patent by their respective owners. Im capturing image through USB web camera and executing this program but that image not giving any answers and its shows multiple errors. ? 2) Is it possible to include fill-in-the-blank questions on the same test paper and use a OCR-like solution for those? Figure 2: Measuring the size of objects in an image using OpenCV, Python, and computer vision + image processing techniques. 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