color_img = imread(‘0k4Kh.jpg’); img = rgb2gray(color_img); [x, y] = size(img); for i = 1:x if length(find(img(i, :))) ~= 0 lastmarginalrow = i-1; break; end end for ii = y:-1:1 if length(find(img(:, ii))) ~= 0 lastmarginalcol = ii-1; break; end end figure; fig = imshow(color_img); h = impoly(gca, [0,x; lastmarginalcol,x; lastmarginalcol,lastmarginalrow; 0,lastmarginalrow]); api = iptgetapi(h); api.setColor(‘red’); … Read more
Scan the borders of the image and when you find a white pixel flood fill with black. You will want something like: uchar white(255); // do top and bottom row for(int y = 0; y < image.rows; y += image.rows-1) { uchar* row = image.ptr<uchar>(y) for(int x = 0; x < image.cols; ++x) { if(row[x] … Read more
You can capture a single frame by using the VideoCapture method of OpenCV. import cv2 pic = cv2.VideoCapture(0) # video capture source camera (Here webcam of laptop) ret,frame = pic.read() # return a single frame in variable `frame` while(True): cv2.imshow(‘img1’,frame) #display the captured image if cv2.waitKey(1) & 0xFF == ord(‘y’): #save on pressing ‘y’ cv2.imwrite(‘images/c1.png’,frame) … Read more
If you have experience with Matlab, the easiest path is to go through the “VGG Convolutional Neural Networks Practical” and use their open source MatConvNet toolbox for Matlab: http://www.vlfeat.org/matconvnet/. 0 solved Neural Network Image Classification, The Most Efficient Solution / Suggestion [closed]
The best way to track object is to transform the video you get from RGB to HSV //convert frame from BGR to HSV colorspace cvtColor(cameraFeed,HSV,COLOR_BGR2HSV); and than use erode() and dilate() function to avoid disorders. Than using a certain range of HUE values you can select a range of colors. There isn’t a best color, … Read more
Have you tried actually setting the environment variables (CMAKE_MODULE_PATH and/or OpenCV_DIR) the error message tells you to set? You can do that from Control Panel > System > Advanced System Settings > Environment Variables See if they exist (and point to the correct path), otherwise just create them… 8 solved CMake still not working with … Read more
Problem solved. I’ve added this line <option>-lc++</option> to the platformOptions.xml. Now OpenCV works great in my actionscript native extension. solved Error when including OpenCv framework in a Native Extension for IOS
I also don’t see any problems with the shadow that would affect the image recognition of the plate. What you will need to do is isolate the letters and numbers on the license plate on each image file by using an image segmentation algorithm of your choice, the shadow and all the other parts of … Read more
Mixing Objective-C and C++ is fine with Xcode and Apples LLVM compiler. Might be done in a number of ways and modes, so yes you may build your C++ & OpenCV module and then use some Objective-C wrappers. 1 solved opencv & c++ with objective-c [closed]