Vectorize Images – C# code and Online Vectorizer

Online Image Vectorizer

If you need to vectorize images, use our free online tool! Image Vectorizer supports JPEG, JPG, PJP, PJPEG, PNG, BMP, ICO, GIF, TIFF, WEBP, XBM and other bitmap formats. It offers various options for preprocessing bitmaps before saving them to SVG format. You are able to interactively manage the vectorized SVG file by using controls linked with proper vectorization options. Convert your images into scalable and clear vector art just now!

Image Vectorization

Image vectorization is the process of converting bitmap images into vector graphics – Bezier curves, splines, and lines. Aspose.SVG for .NET API offers a high-speed C# library that you can use for different SVG parsing tasks. The ImageVectorization Namespace includes classes and interfaces for implementing the image vectorization process. In this article, we’ll look at how to convert Image to vector graphics in C# or using an online Image Vectorizer.

How to use Image Vectorizer?

1. First, load the raster image from a local file system in JPEG, JPG, PJP, PJPEG, WEBP, PNG, BMP, ICO, GIF, TIFF, XBM or other bitmap format. You will see three windows - Source Image, Quantized Image and Vectorized Image - with the preview of initial, color-quantized and vectorized images.
2. Image Vectorizer converts Image to vector with default settings and you can download vectorized Image as an SVG file. But for getting a better result, you can handle the quantization and vectorization processes with two settings sidebars. Click “Quantize” button to apply quantization settings, click “Vectorize” button to apply vectorization settings and convert Image to SVG.
3. Click the “Download” button to get the resultant.

Image Vectorizer converts raster bitmap images into vector artwork constructed from outlines. The vectorization algorithm includes the next steps: color quantization, contour tracing, trace smoothing, trace simplification, and building SVG path elements from the traces. Apply custom settings to get the best Image vectorization result.

Quantization Options

Color quantization is a process of selecting the limited number of colors to use in an image. It is applied when the color information of an image is to be reduced. Color quantization is a very complex process involving a number of factors. This can be implemented using different algorithms. Each of the algorithms determines which colors from the larger set of colors remain in the new image and how the discarded colors are mapped to the remaining ones.

• colors - desired palette size;
• method - histogram methods that implement various color quantization algorithms;
• minHueCols - is a parameter that works with color gradients;
• scale - or scaling factor - configurable for finer or coarser sampling of colors;
• grayscale - you can convert the image to grayscale by clicking the checkbox.

Vectorization Options

• threshold - is responsible for setting the number of pixels to mark the contour;
• severity - affects contours’ smoothing and determines the extent of the region considered by query point the Nearest Neighbor approach;
• line-width - affects lines’ width for marking the contours;
• stencil - turns an ordinary image or photo into an outline image that can be used as a stencil for graffiti-like effects;
• trace paths - you can view the points in a curve that are responsible for building path segments.

Vector graphics are the best for creating logos, icons, page layouts, maps, graphs, line arts, illustrations, technical drawings and more. It is not the most suitable format for continuous-tone images with blends of color or editing photographs. However, vectorizing photos can result in impressive artistic effects that can be interesting and useful.

How to vectorize Image in C#

Aspose.SVG for the .NET API provides classes and methods that allow you to implement the image vectorization process and work with various pre-processing options for images before saving them in vector format. Processing involves controlling the following vectorization options: TraceSimplifier, TraceSmoother, PathBuilder, etc.

	// Initialize an instance of the ImageVectorizer class
	var vectorizer = new ImageVectorizer
    {
		//optionally set configuration
        Configuration =
        {
			//optionally set path builder
            PathBuilder = new BezierPathBuilder {
			//optionally set trace smoother
            TraceSmoother = new ImageTraceSmoother(1),
                ErrorThreshold =  30,
                MaxIterations = 30
            },
            ColorsLimit = 25,
            LineWidth = 1
        }
    };
    // Vectorize image from the specified file
	using var document = vectorizer.Vectorize(InputFolder + "image.png");
    // Save vectorized Image as SVG file 
	document.Save(OutputFolder + "image.svg");

Steps to Convert Image to SVG in C#

To vectorize Image with Aspose.SVG, you should follow a few steps:

1. Initialize an instance of the ImageVectorizer class. Use one of ImageVectorizer() constructors and specify configuration properties.
   • TraceSmoother property sets the trace smoother. It is used to smooth out fragments of contours.
   • TraceSimplifier property sets the trace simplified. As a result, the trace curve will be built composed of line segments with fewer (or bigger) points.
   • PathBuilder property sets the SVG path segments builder and affects how sharply the curve bends at the control points.
2. Vectorize Image from the specified file. The Vectorize() method takes the path to the image file and returns an SVGDocument.
3. Save the vectorized Image as an SVG file. Use the Save() method and pass to it the output path.

Vectorization is helpful because the image will not pixelate when you enlarge it. Scaling without losing quality, small file size, and animation support – are only a few advantages of vectorized images. Whether you are into painting, design, art, printing, architecture or web development, vector images are an essential part of the profession. On the other hand, you just can experiment with images and get some fun vectorizing effects.

In the documentation chapter Vectorization – Basic Overview , you will find image vectorization info, a description of the image vectorization process and vectorization options, learn how to vectorize raster images such as PNG, JPG, BMP, TIFF, GIF, ICO into an SVG document. You will consider a few C# examples that demonstrate the ImageVectorization functionalities and the effect of configuration properties on the vectorization result.
Aspose.SVG offers a Free Online Image Vectorizer allows you to convert JPG, PNG, BMP, TIFF, ICO, and GIF bitmap images to vector graphics. Using this App, you may apply a set of options for obtaining the perfect result. Save your time and check this Image Vectorizer to get all the benefits of vector graphics!

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