Aspose.Imaging.AForge.Adapter 24.9.0

Aspose.Imaging.AForge.Adapter for .NET

Aspose.Imaging.AForge.Adapter is designed to extend the functionality of the Aspose.Imaging library by adding functions from FilFormat.AForge library. This association allows all raster formats supported by the Aspose.Imaging library to be covered by popular methods from the FilFormat.AForge library. The following methods from the FilFormat.AForge library are applicable to all raster formats of the Aspose.Imaging library: EdgeDetector(Homogenity, Difference, Sobel, Canny) BlobDetector (DetectBlobs, ExtractBiggestBlob, BlobsFiltering) ExhaustiveTemplateMatching, ExhaustiveBlockMatching, CornersDetector (Moravec, Susan)

Platform dependence

Aspose.Imaging.AForge.Adapter for .NET can be used to develop applications on Windows Desktop (x86, x64), Windows Server (x86, x64), Windows Azure, Windows Embedded (CE 6.0 R2), as well as Linux x64. The supported platforms include .NetStandard2.0, .Net Core 3.1, .Net6.0, .Net7.0, .Net8.0.

New Features & Enhancements in Version 24.10

First release

Getting Started with Aspose.Imaging.AForge.Adapter for .NET

Are you ready to give Aspose.Imaging.AForge.Adapter for .NET a try? Simply execute

Install-Package Aspose.Imaging.AForge.Adapter

from Package Manager Console in Visual Studio to fetch the NuGet package. If you already have Aspose.Imaging.AForge.Adapter for .NET and want to upgrade the version, please execute

Update-Package Aspose.Imaging.AForge.Adapter

to get the latest version.

Product dependencies

This product is dependent on :

• Aspose.Imaging .NET is distributed under Aspose EULA license;
• FileFormat.AForge is distributed under LGPL license

Usage example

Edge Detector

Aspose.Imaging.License imagingLic = new License();
System.Drawing.AsposeDrawing.License drawingLic = new System.Drawing.AsposeDrawing.License();
imagingLic.SetLicense("license.lic");
drawingLic.SetLicense("license.lic");

using (var image = (RasterImage)Image.Load("polygons.cdr.png"))
{
    image.EdgeDetector(image.Bounds, EdgeDetectorType.Canny);
    image.Save("result.png");
}

Blob Detector

Aspose.Imaging.License imagingLic = new License();
System.Drawing.AsposeDrawing.License drawingLic = new System.Drawing.AsposeDrawing.License();
imagingLic.SetLicense("license.lic");
drawingLic.SetLicense("license.lic");
using (var image = (RasterImage)Image.Load("sample2.jpg"))
{
    var settings = new BlobCounterSettings
    {
        FilterBlobs = true,
        MinHeight = 10,
        MinWidth = 10,
        Order = BlobsOrder.Size
    };

    var blobs = image.DetectBlobs(settings, image.Bounds);
    var blob = blobs[0];
    using (var b = blob.GetImage(false))
    {
        b.Save("result.png");
    }
}

Corner Detector

    Aspose.Imaging.License imagingLic = new License();
    System.Drawing.AsposeDrawing.License drawingLic = new System.Drawing.AsposeDrawing.License();
    imagingLic.SetLicense("license.lic");
    drawingLic.SetLicense("license.lic");

    using (var image = (RasterImage)Image.Load("polygons.cdr.png"))
    {
        var bounds = image.Bounds;
        var points = image.CornersDetector(bounds, new MoravecCornerDetectorSettings());
        AddCornersToImage(image, points);
        image.Save("result.png");
    }

    void AddCornersToImage(RasterImage image, List<Point> points)
    {
        var graphics = new Graphics(image);
        var pen = new Pen(Color.Red, 1);
        for (var i = 0; i < points.Count; i++)
        {
            var point = points[i];
            var rect = new Rectangle(point.X - 1, point.Y - 1, 2, 2);
            graphics.DrawArc(pen, rect, 0, 360);
        }
    }

Exhaustive block matching

    using (var image = (RasterImage)Image.Load("polygons.cdr.png"))
    using (var tmp = (RasterImage)Image.Load("template.png"))
    {
        var similarity = image.ExhaustiveTemplateMatching(0.5f, tmp);
        Console.WriteLine(similarity);
    }