Tutorial | Tracing bitmapsOne of the features in Inkscape is a tool for tracing a bitmap image into a <path> element for your SVG drawing. These short notes should help you become acquainted with how it works. Currently Inkscape employs the Potrace bitmap tracing engine (potrace.sourceforge.net) by Peter Selinger. In the future we expect to allow alternate tracing programs; for now, however, this fine tool is more than sufficient for our needs.Keep in mind that the Tracer's purpose is not to reproduce an exact duplicate of the original image; nor is it intended to produce a final product. No autotracer can do that. What it does is give you a set of curves which you can use as a resource for your drawing. Potrace interprets a black and white bitmap, and produces a set of curves. For Potrace, we currently have three types of input filters to convert from the raw image to something that Potrace can use. Generally the more dark pixels in the intermediate bitmap, the more tracing that Potrace will perform. As the amount of tracing increases, more CPU time will be required, and the <path> element will become much larger. It is suggested that the user experiment with lighter intermediate images first, getting gradually darker to get the desired proportion and complexity of the output path. To use the tracer, load or import an image, select it, and select the Path⇒Trace Bitmap item, or Shift+Alt+B.Main options within the Trace dialogThe user will see the three filter options available: •Brightness Cutoff This merely uses the sum of the red, green and blue (or shades of gray) of a pixel as an indicator of whether it should be considered black or white. The threshold can be set from 0.0 (black) to 1.0 (white). The higher the threshold setting, the fewer the number pixels that will be considered to be “white”, and the intermediate image with become darker. Original ImageBrightness ThresholdFill, no StrokeBrightness ThresholdStroke, no Fill•Edge Detection This uses the edge detection algorithm devised by J. Canny as a way of quickly finding isoclines of similar contrast. This will produce an intermediate bitmap that will look less like the original image than does the result of Brightness Threshold, but will likely provide curve information that would otherwise be ignored. The threshold setting here (0.0 – 1.0) adjusts the brightness threshold of whether a pixel adjacent to a contrast edge will be included in the output. This setting can adjust the darkness or thickness of the edge in the output. Original ImageEdge DetectedFill, no StrokeEdge DetectedStroke, no Fill•Color Quantization The result of this filter will produce an intermediate image that is very different from the other two, but is very useful indeed. Instead of showing isoclines of brightness or contrast, this will find edges where colors change, even at equal brightness and contrast. The setting here, Number of Colors, decides how many output colors there would be if the intermediate bitmap were in color. It then decides black/white on whether the color has an even or odd index. Original ImageQuantization (12 colors)Fill, no StrokeQuantization (12 colors)Stroke, no FillThe user should try all three filters, and observe the different types of output for different types of input images. There will always be an image where one works better than the others. After tracing, it is also suggested that the user try Path⇒Simplify (Ctrl+L) on the output path to reduce the number of nodes. This can make the output of Potrace much easier to edit. For example, here is a typical tracing of the Old Man Playing Guitar:Original ImageTraced Image / Output Path(1,551 nodes)Note the enormous number of nodes in the path. After hitting Ctrl+L, this is a typical result:Original ImageTraced Image / Output Path - Simplified(384 nodes)The representation is a bit more approximate and rough, but the drawing is much simpler and easier to edit. Keep in mind that what you want is not an exact rendering of the image, but a set of curves that you can use in your drawing. Bulia Byak; Jonathan Leighton; Colin Marquardt; Nicolas Dufour; Gellért GyurisEsteban Capella — 2019