Vektorisieren – vectorize

 In you talk about computer graphics, the issues like image tracing, raster-to-vector conversion or vectorization can be called the conversion of raster graphics into vector graphics. One can find an image that doesn’t really have any structure and it is simply a collection of the marks on paper, grains in film, or the pixels found in a bitmap. Though this image can be called as a useful option however, it come along some limits. If the image is seen magnified enough that further make the artifacts appear. The halftone dots, the film grains and the pixels that tend to become apparent. The images of sharp edges are seen becoming fuzzy which can be found in the example of punktwolke.

In ideal conditions, the vector image doesn’t really known to have the same problem. The edges are represented like a mathematical lines or curves, and which can be further magnified to thousands of times — until the precision of the numbers becomes an issue.

The task of vektorisieren helps in converting a two-dimensional image into a two-dimensional vector representation found in the image. It is not seen with examining the image and trying to recognize or get the extract to a three-dimensional model which may be depicted which is not a vision system. For a majority of applications, the idea of vectorization is not seen involving the optical character recognition; the characters are further treated like the lines, curves, or the filled objects without attaching any importance to them. In the subject of vectorization the shape of the character is then preserved, which further helps in keeping the artistic embellishments intact.