Automatic Vectorization of Cartographic Maps by a Science-Based System

The evolution and progress of the automatically vectorizing system is very important as a process input method that takes great time and cost. Most systems that vectorize roster data will force users to set different parameters for a particular map image. But it is difficult for novices to be able to modify the parameters properly and appropriately.
This paper explains a science-based system in order to achieve the automatic vectorization of roster information. This automatic system makes the right choice of parameters possible. Since the act of limiting input image data to produce a framework of proper length and width is a necessary condition for the automatic vectorization of roster data in several steps, so the implementation of limiting algorithms for sample data is systematically evaluated in the images of multiple map, and appropriate rules for maps are thus formed.