skew

问题 I am trying to calculate the skew of text in an image so I can correct it for the best OCR results. Currently this is the function I am using: double compute_skew(Mat &img) { // Binarize cv::threshold(img, img, 225, 255, cv::THRESH_BINARY); // Invert colors cv::bitwise_not(img, img); cv::Mat element = cv::getStructuringElement(cv::MORPH_RECT, cv::Size(5, 3)); cv::erode(img, img, element); std::vector<cv::Point> points; cv::Mat_<uchar>::iterator it = img.begin<uchar>(); cv::Mat_<uchar>:

问题 I'm trying to do a perspective transformation of a set of points in order to achieve a deskewing effect: http://nuigroup.com/?ACT=28&fid=27&aid=1892_H6eNAaign4Mrnn30Au8d I'm using the image below for tests, and the green rectangle display the area of interest. I was wondering if it's possible to achieve the effect I'm hoping for using a simple combination of cv::getPerspectiveTransform and cv::warpPerspective . I'm sharing the source code I've written so far, but it doesn't work. This is the

问题 I am using the Dow Jones Dataset and I am trying to test skewness. So far this is the code: library(tseries) library(zoo) library(reshape2) library(fBasics) dow = read.table('dow_jones_index.data', header=T, sep=',') # create time series dow <- read.table('dow_jones_index.data', header=T, sep=',', stringsAsFactors = FALSE) # delete $ symbol and coerce to numeric dow$close <- as.numeric(sub("\\$", "",dow$close)) tmp <- dcast(dow, date~stock, value.var = "close") #tmp[,-1] means it's removing

问题 I've been at this for hours so hopefully someone can help. I have a website where a large majority of the divs are skewed. Most of the divs contain background images. Right now I've got the div skewed and the content sitting in it perfectly, the only issue is the background image, it's skewing along with the parent. I googled quite a bit and haven't been able to find much, maybe I'm using the wrong terminology for what I'm looking for. Here is code for one of the skewed divs I have: CSS:

问题 I'm using Visual Studio Express 2012. I have a main background image, and I want to skew an image and add it to the main background. So far I have this: 'Create a new bitmap image of the transparent image Dim overlay As New Bitmap("C:\TestFolder\rectangle.png") 'Create a new bitmap image of the image to you want the transparent image drawn onto Dim pic As New Bitmap("C:\TestFolder\MyImage.png") 'Create a graphics object from the image to be drawn onto Dim grx As Graphics = Graphics.FromImage

问题 i want to detect the skew level from an image. I've the following code: public void analyse(CvMat img) { rows = img.rows(); cols = img.cols(); // create edge-map from rois CvMat edgeMap = cvCreateMat(rows, cols, CV_8UC1); cvCanny(img, edgeMap, 100, 400, 3); // transform to hough CvMemStorage storage = cvCreateMemStorage(0); lines = cvHoughLines2(edgeMap, storage, CV_HOUGH_PROBABILISTIC, 1, EuclideanDistance euclideanDistance = new EuclideanDistance(); double maxDistance = Double.MIN_VALUE;

问题 I have a dataset in an Access database that, for simplicity's sake, looks like this: ID Group Employee Ticket ID ------ --------- -------- ----------------- 1 A Joe 123414 2 A Joe 12309124 3 A Bob 112321321 4 A Bob 213123214142 5 A Sam 123214214124 6 B Jen 412949218419 7 B Amy 12341234213 What I'm trying to do is calculate the statistical skewness of distribution of the number of tickets each employee has handled. In a perfect world, my SQL would be this: SELECT [Group], SKEW([myCount]) AS

问题 Edit Code added, please see below Edit 2 - Screenshots from device included at bottom along with explanation Edit 3 - New code added I have 2 classes, a rendered and a custom 'quad' class. I have these declared at class level in my renderer class: final float[] mMVPMatrix = new float[16]; final float[] mProjMatrix = new float[16]; final float[] mVMatrix = new float[16]; And in my onSurfaceChanged method I have: @Override public void onSurfaceChanged(GL10 gl, int width, int height) { GLES20

问题 I've been following this tutorial to get the skew angle of an image. It seems like HoughLinesP is struggling to find lines when characters are a bit scattered on the target image. This is my input image: This is the lines the HoughLinesP has found: It's not really getting most of the lines and it seems pretty obvious to me why. This is because I've set my minLineWidth to be (size.width / 2.f). The point is that because of the few lines it has found it turns out that the skew angle is also

问题 I found this great script to make it rain confetti: http://jsfiddle.net/hcxabsgh/ Note how the particles have this twist/turn/skew-effect to make it feel more natural. I have been trying to make the particles round which also works nicely: http://jsfiddle.net/rqr9hb7x/2/ But i can't get the particles to twist/turn/skew around their axes like in the rectangular example. I figured it should be doable with ctx.setTransform(), since it handles skew-parameters, but it seems to skew the whole