For future Googlers, here is an algorithm that I ported from Quasimondo. It’s kind of a mix between a box blur and a gaussian blur, it’s very pretty and quite fast too. Update for people encountering the ArrayIndexOutOfBoundsException problem : @anthonycr in the comments provides this information : I found that by replacing Math.abs with … Read more
Building on Jeff’s answer, your first step would be to create a canvas representation of your PNG. The following creates an off-screen canvas that is the same width and height as your image and has the image drawn on it. var img = document.getElementById(‘my-image’); var canvas = document.createElement(‘canvas’); canvas.width = img.width; canvas.height = img.height; canvas.getContext(‘2d’).drawImage(img, … Read more
The specific numbers in the question are from CCIR 601 (see Wikipedia article). If you convert RGB -> grayscale with slightly different numbers / different methods, you won’t see much difference at all on a normal computer screen under normal lighting conditions — try it. Here are some more links on color in general: Wikipedia … Read more
Check out this link: http://www.switchonthecode.com/tutorials/csharp-tutorial-image-editing-saving-cropping-and-resizing private static Image cropImage(Image img, Rectangle cropArea) { Bitmap bmpImage = new Bitmap(img); return bmpImage.Clone(cropArea, bmpImage.PixelFormat); }
Here’s an implementation of the Projection Profile Method algorithm for skew angle estimation. Various angle points are projected into an accumulator array where the skew angle can be defined as the angle of projection within a search interval that maximizes alignment. The idea is to rotate the image at various angles and generate a histogram … Read more
Here is my solution: import pytesseract from PIL import Image, ImageEnhance, ImageFilter im = Image.open(“temp.jpg”) # the second one im = im.filter(ImageFilter.MedianFilter()) enhancer = ImageEnhance.Contrast(im) im = enhancer.enhance(2) im = im.convert(‘1’) im.save(‘temp2.jpg’) text = pytesseract.image_to_string(Image.open(‘temp2.jpg’)) print(text)
You need to use either PHP’s ImageMagick or GD functions to work with images. With GD, for example, it’s as simple as… function resize_image($file, $w, $h, $crop=FALSE) { list($width, $height) = getimagesize($file); $r = $width / $height; if ($crop) { if ($width > $height) { $width = ceil($width-($width*abs($r-$w/$h))); } else { $height = ceil($height-($height*abs($r-$w/$h))); } … Read more
This is a recurring subject in Stackoverflow and since I was unable to find a relevant implementation I decided to accept the challenge. I made some modifications to the squares demo present in OpenCV and the resulting C++ code below is able to detect a sheet of paper in the image: void find_squares(Mat& image, vector<vector<Point> … Read more
Dynamic variables Note that whilst this is possible, it’s considered to be bad programming (see for instance here, or this blog by Loren and even the Mathworks in their documentation tell you not to do this). It would be much better to load your images directly into either a 3D array or a cell structure, … Read more
There is no specification and there is no algorithm that will define what moves and what is still. Cinemagraphs are an art form. It’s the artist’s choice that makes the difference between a simple animated gif or video and an appealing cinemagraph. I think you did not fully understand what this is about so you … Read more