Color QuantizationĬolor quantization produces the output relying on recognizing colors as a backbone algorithm, and the parameter is the number of colors you want to output to have, so the shapes it draws map closely to the number of colors, but don’t be confused that it will produce a colored vector, the output will be the average color of your image.Īs you might guess, this method works with any colored output, as you put an appropriate number of colors to be scanned. Edge detection with a threshold of 0.09 3. This method fits images with a lot of lines and geometric shapes, and it doesn’t rely as much on color or contrast as the previous method. This method produces a kind of line art but with just straight lines, it characterizes edges within an image based on a similar parameter to brightness threshold, this is called edge threshold ranging from 0 to 1, higher values lead to taller and fewer line segments on contrast to lower values which lead to a detailed and more crisp output. Brightness cutoff with a threshold of 0.35 2. It fits images that contain a few colors with a significant contrast between them. The threshold is a number between 0-1, which represents the percentage of black to be mapped based on the brightness of the traced image. This method works by calculating the difference between the brightness within areas of the input image, and then areas within a certain threshold (the user decides this limit) will be black (or figure), and the rest is none (the background). The word scan refers to the number of times that the image will be scanned, and in Single Scan option it happens once so, it doesn’t take much time to process images, even if it is a high resolution. This option is generally good at tracing simple images, so it is resource friendly. These options and their sub-methods are: Single Scan This tool comprises two options, and each option has other sub-methods.

Centerline trace adobe illustrator