Videos Simple AForge. NET is a powerful C framework designed for the fields of Computer Vision and Artificial Intelligence, image processing, neural networks, genetic algorithms, machine learning, robotics, etc. This is a simple and quick tutorial that describes how to setup Visual Studio environment to work with AForge. At the end of this tutorial you will have a C project with all the required dll files for AForge. Download complete Visual Studio project. This will open a new window to manage your references via NuGet.
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It contains many routines and filters for image processing. It lets you to specify the particular glyph to be recognized and also support 2d augmentation , that lets you to place a particular image over the recognized glyph. Glyph to be recognised is created on a white paper with outermost white border , then black border with glyph inside.
It starts all with the bitmap to be processed , its the managed bitmap captured from the source. Imaging namespace. UnmanagedImage class takes the BitmapData as a parameter in its constructor and converts the Bitmap image into unmanaged image.
LockBits new Rectangle 0, 0, image. Width, image. Height , ImageLockMode. ReadOnly, image. GrayScale filter processes the image pixels and returns only the pixels within gray range from 0 to 1.
Gray range is from complete white to black and varied gray component in-between. Create image. Height, PixelFormat. Format8bppIndexed ; Grayscale. Apply image, grayImage ; After we have reduced the image with only gray intensity pixels, we apply DifferenceEdgeDetector filter on the grayscale image to detect the edges in the image.
ApplyInPlace edgesImage ; We use BlobCounter class to get all the detected blobs in the image of particular size and width.
Computer Vision Using AForge.NET