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Found 1 result

  1. This is a simple example using C# and AForge of how you can detect if ImageA is found in ImageB. AForge is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc. You can add it to you're project as a NuGet package or from their website AForge.NET :: Computer Vision, Artificial Intelligence, Robotics The code is very straight forward: - you load to images(source and template) - you create a ExhaustiveTemplateMatching from AForge - you store the found matches in a TemplateMatch System.Drawing.Bitmap sourceImage = (Bitmap)Bitmap.FromFile(SourceInput.Text); System.Drawing.Bitmap template = (Bitmap)Bitmap.FromFile(TempateInput.Text); // create template matching algorithm's instance // (set similarity threshold to 92.5%) ExhaustiveTemplateMatching tm = new ExhaustiveTemplateMatching(0.921f); // find all matchings with specified above similarity TemplateMatch[] matchings = tm.ProcessImage(sourceImage, template); // highlight found matchings foreach (TemplateMatch m in matchings) MessageBox.Show(m.Rectangle.Location.ToString()); Working code can be found here: hg clone https://bitbucket.org/rokill3r/imageprocessing
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